Over the last decade, the Data Science Salon has been committed to fostering a supportive and inclusive environment for sharing advancements in AI and ML. Along this journey, we have encountered numerous brilliant women who have made remarkable contributions to the field.
With the dedicated efforts of our content team, we have meticulously compiled a list of over 250 outstanding women in AI and ML.
In a rapidly evolving digital landscape, the contributions of women in AI and tech are becoming increasingly indispensable. Our list celebrates these pioneering individuals who not only break barriers but also set new standards in their fields. These women occupy diverse roles, from visionary tech leaders and trailblazing innovators to vigilant guardians of AI ethics. Their collective achievements underscore the profound impact women have on shaping the future of technology, machine learning and artificial intelligence, showcasing a blend of expertise, leadership, and ethical stewardship.
Sara Aby is a media and data science professional currently serving as the SVP of Global Data & Technology at Starcom, a media agency headquartered in Chicago. She joined Starcom in September 2022. Sara completed her PhD in Electrical Engineering from Florida International University in 2015. Prior to her current role, she was the SVP of Analytics & Data Science at UM Worldwide from October 2021 to September 2022. She also worked at OMD USA as the Senior Director of Data Science and as Director of Data Science, Marketing Science from 2019 to 2021. Sara's earlier career includes roles as Senior Data Scientist at Crossix Solutions and Lead Data Scientist at Perr&Knight.
Sarah Aerni is the Director of Data Science at Salesforce Einstein, leading a team that develops AI-powered applications using autoML. With over 15 years in machine learning and nine years in management, she oversees more than 70 data scientists and engineers. Previously, she led healthcare and life sciences teams at Pivotal and co-founded an informatics services company. Sarah holds a PhD in Biomedical Informatics from Stanford University, where she researched under Serafim Batzoglou and Stuart Kim. She excels in production delivery, team collaboration, and shaping AI products, contributing to Salesforce innovations like Sales GPT and Einstein Copilot.
Shuchi Agrawal is a Technology Executive with over 20 years of experience in Cloud Adoption, Transformation, and Emerging Technologies. Specializing in Data Transformation and Governance, she holds a Master's in Computer Science and an MBA from the University of Illinois UC, with additional certifications from Wharton and MIT. Shuchi leverages data to drive decision-making and optimize operations, excelling in Agile methodologies with certifications in Lean Six Sigma Black Belt, PMP, and Scrum Master. She has led cloud data strategies on AWS and Azure, ensuring compliance with standards like HIPAA, SOX, and GDPR, across industries such as Financial Services, Real Estate, Aviation, Healthcare, and Digital Marketing.
Sivan Aldor-Noiman, PhD, is a technology executive known for her passion for transforming imperfect data into impactful products. As the Chief Technology Officer at Banff Advisors since January 2023, she excels in team leadership and strategic decision-making. Sivan also advises on machine learning at Galileo and artificial intelligence at Guardicore, focusing on data quality and technology architecture. She holds a PhD in Statistics from The Wharton School and is committed to using data to drive positive change.
Polly Allen is a seasoned technologist with extensive experience in software development and leadership. As a Principal Product Manager for Alexa AI at Amazon, she led teams specializing in natural language use cases, pioneering AI-generated responses on Alexa. Passionate about diversity in AI, Polly founded AI Career Boost, aiming to empower women in the field. She holds a M.Sc. in Software Engineering from MIT and the University of Victoria, and an MBA from the University of British Columbia. Polly is also an angel investor, corporate board member, and frequent speaker on Product Management and DEI in AI.
Erica Pereira-Amorim, PhD, is the Chief Data Officer at Broward College with expertise in research and data analysis across Latin America, Africa, and Asia. Fluent in Portuguese, English, and Spanish, she specializes in designing and evaluating evidence-based programs that impact vulnerable populations. At Broward College, she leads advanced analytics, business intelligence, and data governance to support data-driven decision-making. She holds a Ph.D. in Education Policy and Evaluation from Florida State University.
June Andrews is a pioneering leader in integrating machine learning into human decision systems, driving transformative advancements. With a focus on cross-functional collaboration, she has led groundbreaking projects at GE, Stitch Fix, and Nike, revolutionizing industries such as aviation and fashion. June's expertise has been showcased in featured talks at prestigious conferences, and she holds degrees in applied mathematics, computer science, and electrical engineering from UC Berkeley and Cornell. Passionate about giving back, June contributes pro bono work to education and nonprofit boards, guest lectures, and book reviews.
Julia Angwin, a Pulitzer Prize-winning journalist and contributing Opinion writer for The New York Times, is renowned for her investigative prowess and entrepreneurial spirit. She founded The Markup, a respected nonprofit newsroom, and has authored two influential books on technology and privacy. With a background in data-driven reporting, she has been recognized as a finalist for the Pulitzer Prize multiple times and is an esteemed figure in the field of investigative journalism. Julia holds degrees in mathematics and business administration from The University of Chicago and Columbia University, respectively, and currently serves as an entrepreneur-in-residence at the Columbia Journalism School’s Brown Institute.
Anna Anisin, recognized as a Tech Industry Insider by CNN for three consecutive years, is a prominent entrepreneur and tech leader. She is the founder and CMO of FormulatedBy and DataScience.Salon, driving innovation in AI and machine learning. Formerly CEO of 4Sync and VP of US Operations at 4Shared, Anna co-founded Passare in 2013 and was part of the founding team at Domino Data Lab.
At FormulatedBy, she collaborates with over 100 companies, including AWS, IBM, and O'Reilly Media, to develop effective marketing strategies. Through DataScience.Salon, she fosters diversity and innovation in data science, AI, and ML. As a Forbes contributor, she shares insights on AI, machine learning, and marketing while advocating for women in tech. Anna's work highlights her commitment to promoting inclusive and ethical practices in technology.
Catalina Arango is a Vice President at Blackstone, focusing on Real Estate and Private Equity Technology with an emphasis on data, analytics, and AI. Previously, she served as a Data Platform Product Manager at NextEra Energy, developing enterprise applications for analytics and machine learning. She also held roles at several startups and led analytics initiatives at Restaurant Brands International. Catalina holds a Bachelor of Science in Economics from The Wharton School and has studied at Singapore Management University.
Sarah Arnett is the Senior Vice President of Data & Technology at Carat USA, where she excels in building high-performing, diverse teams that deliver significant business value to clients. With extensive experience in leveraging emergent AI tools and cloud/edge-based technologies, Sarah creates modern data ecosystems and scalable MLOps frameworks. She has also developed and architected media measurement products, enhancing advanced analytics capabilities for brand and direct response agencies. Before joining Carat USA in May 2023, Sarah served briefly as SVP of Data Products & Technology at Horizon Media. Her prior roles include Chief Data and Analytics Officer at Catalyst, CTO and CPO at Cognize Inc., and VP of Data Products & Analytics at Icon Media Direct. Sarah holds an MBA from the University of Missouri-Kansas City and a BA/BS in Finance and Statistics from Baker University. Her career is marked by a commitment to innovative data solutions and transformative technology leadership.
Carme Artigas is a prominent figure in the field of AI and digital transformation, currently serving as Co-Chair of the AI Advisory Board at the UN Secretary-General's office. She was the Secretary of State for Digitization and AI in Spain and has extensive experience as an international executive and board advisor. Carme co-founded and led Synergic Partners, a pioneering company in Big Data and AI, and has held significant roles at Ericsson and the Catalonia Regional Government. She holds degrees from UPC and Ramon Llull University.
Dr. Kamelia Aryafar is a senior engineering and AI executive at Google Cloud AI, leading teams focused on search and recommendation solutions. She previously served as Executive Vice President, Chief Algorithms and Analytics Officer, and board member at Overstock.com, where she led data science and machine learning initiatives. Kamelia also worked at Etsy, integrating AI across various products. She holds a Ph.D. and M.Sc. in computer science from Drexel University and actively contributes to the AI community through board memberships and frequent speaking engagements at conferences.
Swagata Ashwani is a Principal Data Scientist based in San Francisco, California. With over two years of experience at Boomi, she specializes in AI and data-driven decision-making. Swagata also hosts "The Data Dojo" podcast and serves as a Chapter Lead for Women In Data™️. She holds a Master's degree from Carnegie Mellon University and is currently expanding her expertise through a graduate program at Stanford University.
Maria Luciana Axente is a recognized expert in AI ethics and policy. As the Head of AI Public Policy and Ethics at PwC UK, Maria integrates ethical considerations into AI strategies, fosters partnerships, and leads public policy engagements. With a focus on children's rights in AI, Maria is at the forefront of responsible AI initiatives. Maria's experience includes serving as the Chair of techUK's Data Analytics and AI Leadership Committee, where she drives the UK's AI ecosystem forward. At PwC, she pioneered the Responsible AI toolkit and co-developed the UK AI Center of Excellence. Maria's expertise extends to consulting and advising on digital strategy and transformation, shaping the future of AI governance. With a Master's in Business Administration and active involvement in various advisory boards and initiatives, Maria Luciana Axente continues to shape ethical AI practices and policies globally.
With over 20 years of experience, Theodora Bakker is a leader in enterprise data strategy and analytics. Currently VP of Data at Bakker Consulting, Inc., she drives comprehensive data architecture for global corporations. Previously, at Memorial Sloan Kettering Cancer Center, she directed data stewardship and integration. Holds an MSLIS from the University of Illinois Urbana-Champaign.
With over 20 years of expertise in digital technology, data science, and AI, Meltem Ballan is a visionary entrepreneur committed to leveraging high-performance computing and generative AI to shape the future. As CEO and Co-founder of Concrete Engine, she pioneers solutions for diverse industries. Meltem also serves as a Venture Partner at Green Light Equity Partners, advising on technology development and M&A strategies. Previously, she co-founded Myava, empowering women through AI-driven fashion. Holds a Ph.D. in Complex Systems and Brain Sciences from Florida Atlantic University.
Jenifer Jones-Barbato is the Vice President of Global Data and Analytics and Regional CIO for North America at Bacardi. With extensive experience in data science and analytics, she has held senior roles at Jellyfish, TE Connectivity, and The Estée Lauder Companies. Jenifer specializes in data strategy and leading analytics teams to drive business value. She holds an M.E. in Operations Research and Statistics from Rensselaer Polytechnic Institute and has completed advanced business courses. She also served as Treasurer on the Board of Directors for Jackson Youth Football and Cheerleading.
Dr. Elizabeth Barth-Thacker is a seasoned digital change leader and strategist, renowned for her expertise in driving profitable growth through digital and analytic strategy execution, governance, and operational excellence. Currently serving as VP and Head of Data & Analytics at American Modern Insurance Group, she leads the organization's analytic maturity journey, shaping its data and analytic strategy to enhance financial performance. Elizabeth is also a member of Chief, a private network empowering women executives. With a rich background spanning roles at Nicklaus Children's Health System, Cigna Healthcare, and Humana Inc., Elizabeth brings extensive experience in technology governance, strategic planning, executive management, and human capital development. She holds a Ph.D. in an analytical field, complementing her practical insights with academic rigor.
Anne Bauer is the Executive Director of Data Science at The New York Times, where she leads a team focused on deploying machine learning to enhance subscription conversion, retention, and revenue. With a background in physics and computer science, Anne brings over nine years of experience to her role, driving data-driven initiatives forward and leveraging analytics to improve user experience.
Katie Bauer is the Head of Data at GlossGenius, where she spearheads initiatives to maximize business value through data. With a background in linguistics and computer science, Katie has over three years of experience leading data-driven teams. She has played pivotal roles in scaling teams, implementing business review processes, launching A/B testing platforms, and ensuring compliance. Katie's expertise extends to advising and fellowships, where she shares insights on managing data teams and stakeholders. Prior to GlossGenius, she held key positions at Twitter and Reddit, driving measurement strategies and overseeing data science functions. Katie holds a Bachelor of Arts in Linguistics from The Ohio State University, with minors in Russian and Computer and Information Science.
Mikiko Bazeley is a seasoned MLOps & AI Engineer currently at Labelbox, where she not only builds cutting-edge ML systems but also serves as a Developer Advocate. With previous roles including Head of MLOps at Featureform and Senior Software Engineer at Intuit, Mikiko has a diverse background in empowering data teams and driving innovation. Her expertise spans from software engineering to data science, showcased by her contributions at companies like Sidewalk and Teladoc Health. Mikiko holds a Bachelor's in Economics and Biological Anthropology from UC San Diego and has completed a Data Science bootcamp focused on Natural Language Processing. Throughout her career, she has been committed to excellence, innovation, and continuous learning in the field of AI and MLOps.
Sheila Beladinejad is a seasoned technology management expert with over 20 years of experience. Specializing in technical due diligence for Mergers and Acquisitions, she has facilitated successful acquisitions valued over $500 million across Europe, Canada, and the United States, completing over 60 Technical Due Diligence projects. Her expertise lies in AI, software architecture, infrastructure, and scalability assessment, leading to significant efficiency gains and cost reductions. Sheila also provides strategic advisory and implementation services to enhance operational efficiency, reduce costs, and keep organizations at the forefront of technological advancement. She is the founder of opentrade.global and serves as a Strategist and Technology Consultant at O Canada Tech. Additionally, Sheila is the President of Women in AI & Robotics Germany and a member of the European AI Alliance, contributing to gender-inclusive, ethical, and responsible solutions in the AI and robotics space. She holds an International Masters of Enterprise Engineering from the Université de Bordeaux and has certifications in Applied Generative AI for Digital Transformation and AWS Business Professional.
Belinda Bennett, a Staff BI Engineer at Airbnb, is known for her expertise in analytics, ETL, and data tool design. With over a decade of experience, she's adept at aligning teams to drive product strategy and enhance business outcomes. Belinda's passion lies in simplifying technical concepts for non-technical stakeholders. She's held various roles, including Senior Data Scientist at Airbnb and Head of Customer Success and Data at Transform. Belinda's skills encompass communication, data visualization, analytics engineering, ETL tools, and reporting & analysis. She's also a Semantic Layer enthusiast, currently contributing her expertise at Airbnb in Austin, Texas, after a brief career break for parentingn
Deborah Berebichez, Ph.D., is currently serving as the Partner and Global AI Transformation Product Leader at EY, where she leads the integration of artificial intelligence across the company's top client technology products. Prior to EY, she founded Solve For You, focusing on data-driven solutions and quantum computing. With a background in physics, she has held positions at VTT and IQM Quantum Computers, specializing in quantum computing research and business development. Previously, she worked as Vice President / Chief Data Scientist at Kaplan, contributing to the development of data science curriculums. Deborah holds a Ph.D. in Physics from Stanford University, where she conducted research in theoretical and mathematical physics. Her diverse experiences demonstrate her expertise in AI, quantum computing, data science, and physics.
Olga Berezovsky currently serves as the Head of Data and Analytics at Scopeclarity LLC, a data and technology consulting firm in the San Francisco Bay Area. She has extensive experience in business intelligence, having previously worked as a Senior Manager at MyFitnessPal and a Senior Product Analyst at vidIQ. Olga holds a Master of Arts in Philosophy and Analytics from the National University of Kyiv-Mohyla Academy and a Bachelor of Applied Science in Educational Statistics and Research Methods. In addition to her professional roles, she is actively involved in the tech community as a volunteer for organizations like PyLadies and Women Who Code, promoting diversity and participation in the Python open-source community.
Rossella Blatt Vital is a visionary AI and Data Science executive with over 15 years of experience in transforming data into valuable insights. She has a strong track record of building high-impact products and leading teams to deliver innovative AI solutions across various industries, including Tech, Retail, and FinTech. Currently, as the VP of Engineering - AI and Analytics at Sprout Social, Inc., Rossella is spearheading multi-year AI initiatives that are reshaping the social media landscape. She is passionate about fostering a culture of innovation, collaboration, and inclusion, and is deeply committed to using AI to create a better tomorrow. Additionally, Rossella serves as an advisor to startups, leveraging her expertise to guide the development of cutting-edge AI products in e-commerce and food security sectors. She is a Stanford University Graduate School of Business alumna and is driven by a belief in the power of AI to solve complex problems and drive meaningful change.
Rehgan Bleile is the Co-founder and CEO of AlignAI, based in Columbus, Ohio. AlignAI is dedicated to making AI valuable and safe, providing a people-centric platform for organizations to align on data and AI strategies from leadership to frontline staff. Rehgan is also deeply involved in promoting diversity and leadership in the tech community. She is a Board Member at Women in Analytics, where she previously served as Founder and CEO. Additionally, Rehgan serves on the Advisory Board of OhioX and as an Advisor for the MS in Data Analytics Program at Franklin University. Her expertise extends to roles such as Solutions Architect and Product Manager, with experience at companies like Mobikit, ModelOp, and Clarivoy. Rehgan holds a Bachelor's Degree in Industrial and Systems Engineering from The Ohio State University. She is also committed to education and volunteering, having served as an advisor for the Women in Data Science Summer Camp and as a student volunteer with VESA, contributing to environmental projects in Fiji.
Jodi Blomberg serves as the VP of Data Science at Cox Automotive, based in Denver, Colorado. She leads a 50-person team at the Enterprise Center of Excellence for Data Science/AI/ML, spearheading initiatives across early-stage research, proofs of concept, and product delivery. Prior to her role at Cox Automotive, Jodi held senior positions at Waste Management and Charles Schwab, where she drove intelligence into applications and systems generating hundreds of millions of dollars annually. At Charles Schwab, she led strategic data science initiatives spanning chatbot development, personalization, omni-channel client journeys, and process automation, earning recognition such as the ANNY Award.
Jodi is recognized for her expertise in NLP, computer vision, predictive modeling, and optimization. She holds an MS in Mathematics from the University of Colorado Denver and has extensive experience in data science across various industries, including government agencies and financial institutions. Jodi is known for her passion for AI and her ability to bridge the gap between stakeholders and data scientists, prioritizing innovation while ensuring practical applications and tangible results.
Jodi Blomberg serves as the VP of Data Science at Cox Automotive, based in Denver, Colorado. She leads a 50-person team at the Enterprise Center of Excellence for Data Science/AI/ML, spearheading initiatives across early-stage research, proofs of concept, and product delivery. Prior to her role at Cox Automotive, Jodi held senior positions at Waste Management and Charles Schwab, where she drove intelligence into applications and systems generating hundreds of millions of dollars annually. At Charles Schwab, she led strategic data science initiatives spanning chatbot development, personalization, omni-channel client journeys, and process automation, earning recognition such as the ANNY Award. Jodi is recognized for her expertise in NLP, computer vision, predictive modeling, and optimization. She holds an MS in Mathematics from the University of Colorado Denver and has extensive experience in data science across various industries, including government agencies and financial institutions. Jodi is known for her passion for AI and her ability to bridge the gap between stakeholders and data scientists, prioritizing innovation while ensuring practical applications and tangible results.
Roja Boina is a Software Engineering Senior Advisor at Cigna Healthcare, with seven years of experience. She specializes in data migration, ETL methodologies, job scheduling, and SQL. Roja has led successful projects in migrating to Databricks, achieving cost savings and operational improvements. She also worked as a Data Engineer on a Teradata to Hadoop migration project, excelling in code refactoring and deployment orchestration. Roja is proficient in Tableau, Jenkins, Docker, and Git. Additionally, she serves as a Mentor in Data Analytics & Engineering for Women In Data™️, demonstrating her commitment to professional development. Roja holds a Master's degree in Computer Science from the University of New Haven and has volunteered with United Way as a tax volunteer.
Joy Bonaguro is a seasoned data executive, drawing on expertise in data, design, policy, and technology to drive organizational change. Formerly serving as the Chief Data Officer for both the State of California and the City and County of San Francisco, Joy has led initiatives to accelerate data use across large organizations. She has also held advisory roles at Privacy Analytics and Accenture, contributing to trusted data strategies and shaping Accenture's Technology Vision report. Joy holds a Master's in Public Policy Analysis from the University of California, Berkeley, and a Bachelor's in Mathematics and Philosophy from Tulane University
Michelle Bonat is a seasoned tech leader and data scientist with a passion for leveraging data and AI responsibly to solve critical problems. With extensive experience spanning software engineering, AI innovation, and financial services, Michelle holds key roles such as Chief AI Officer at AI Squared, where she drives the development and implementation of cutting-edge AI technology. Michelle's expertise includes building AI solutions, driving strategy, and advancing diversity in tech. She holds an MBA from the Kellogg School of Management and has held leadership positions at JPMorgan Chase, Oracle, and as CEO of her own fintech startup. Michelle is also dedicated to giving back through mentoring, supporting food security, and climate change management initiatives.
Irina Borisova King is an expert in AI ethics, governance, and policy, currently serving as the Principal Product Manager for Ethical Innovation at Adobe. With a background in data science, Irina has held key positions in various organizations, including partisan.ai and getservo.co, where she led data science initiatives and product development. She has extensive experience in researching, analyzing, and implementing crosswalks for AI regulatory and advisory ethics frameworks, as well as designing and implementing automated tests for machine learning pipeline risk assessments. Prior to her current role, Irina worked as a Staff Data Scientist at Chegg Inc. and as an Applied Researcher at eBay. She holds a Master's degree in Language Science and Technology from the Universität des Saarlandes and a Master's degree in Neurolinguistics and Models of Grammar from the University of Groningen.
Dr. Daniela Braga is the Founder and CEO of Defined.ai, a leading marketplace for ethically sourced training data for AI. With over 8 years of experience in the industry, Daniela has been instrumental in building a community of AI professionals dedicated to creating fair, accessible, and ethical AI solutions. Prior to founding Defined.ai, she served as the Founder, President, and Chief Scientist of a data science company. Additionally, Daniela has held advisory roles at organizations such as the Portuguese Diaspora Council and is a member of prestigious groups like YPO. She has also contributed significantly to the advancement of speech technology, holding a PhD in Speech Technology from the University of La Coruña and a Master's degree in Applied Linguistics from the University of Minho.
Patricia Buendia is a Biomedical Innovation Catalyst focused on improving healthcare through data integration and computational tools. She is the Founder and CEO of Lifetime Omics, Inc., and has served as a Senior Scientific Consultant at BioTeam, Inc. With a PhD in Bioinformatics from Florida International University and a Master's in Computer Science from the Technical University of Munich, Patricia's work combines algorithmic, statistical, and machine learning approaches to extract insights from clinical and biomedical data. She collaborates with experts in biomedical research to discover new biomarkers and treatments.
Dr. Joy Buolamwini, CEO of the Algorithmic Justice League, is renowned for her advocacy and research on AI bias. Her work at MIT revealed significant biases in AI systems from major tech companies. As an artist, she creatively communicates AI issues through spoken word and multimedia exhibits. Buolamwini advises global leaders on AI ethics and has earned numerous accolades, including Forbes Top 50 Women in Tech. She holds a PhD from MIT and a bachelor's from Georgia Tech.
Dr. Lisa Burton O'Toole, PhD, leads HearstLab, investing in and supporting women-led startups. She evaluates startups for investment, supports a network of women executives at Hearst, and assists portfolio companies across data, design, marketing, and operations. With a background in mechanical engineering from MIT, she previously co-founded a startup using social media data for brand insights and worked as a data science consultant. O'Toole also serves on the boards of Time Study and MD Ally, and volunteers as an advisor for Strategio.
Dr. Graziella Caputo, PhD, is a Principal Data Scientist with extensive experience in leading roles at top tech companies. Currently at Microsoft, she specializes in sustainability initiatives. Previously, she held senior positions at IBM and Schlumberger, focusing on industrial applications of data science and machine learning. With a background in artificial intelligence research and natural language processing, she has contributed to projects in smart cities and operational resilience. Caputo holds a PhD in Computational Systems - Artificial Intelligence, along with a master's degree in Computational Systems - Natural Language Processing, and a bachelor's degree in Computer Science. She has also completed courses in business strategy and artificial intelligence at MIT Sloan School of Management and Sapienza Università di Roma.
Elizabeth Chabot, MIDS, brings a wealth of experience in information technology and business intelligence to her roles. Currently serving as the Director of Information Technology at Abbott, she leads with a hybrid approach in Los Angeles County, California. Alongside her role at Abbott, she owns E. H. Chabot Consulting, focusing on business intelligence and strategy.
Previously, she held positions as the Director of IT at Edwards Lifesciences and as a Manager of Strategy & Analytics at Deloitte. Chabot's career also includes experience as a Lead Data Scientist at ScaleFactor and earlier roles as a Data Scientist. She holds a Master's Degree in Information and Data Science from the University of California, Berkeley, and a Bachelor of Arts and Bachelor of Fine Arts in Psychology, Neuroscience, and Fine Arts from the University of Southern California. Her diverse educational background and extensive professional experience position her as a versatile leader in the IT and business intelligence domains.
Anna Chaney, a machine learning leader, blends engineering, math, and computer science to solve real-world challenges. Currently the Director of Machine Learning at Procore Technologies, she applies analytics to the construction industry. Her background includes pioneering data-driven machine learning chatbots at IBM and serving as an Assistant Professor at The University of Texas at Austin. Anna holds a Master of Science in Computer Science from the University of Arizona and a Bachelor of Science in Applied Mathematics from the University of Colorado Boulder. Off duty, she's a bass guitarist in a live-band karaoke act.
Prosasty Chaudhuri is a seasoned Chief Data Officer with over two decades of experience leading complex data projects for Fortune 100 financial firms. Recognized as a Top 100 Global Data Power Woman for consecutive years, she’s known for her expertise in data transformation, governance, quality, and AI. With an MBA from Columbia Business School and an MS in Computer Science from Johns Hopkins University, she’s a trailblazer in her field. Currently, she serves as an Independent Board Member & Strategic Advisor at Sigmoid and as a Board Member for EDM Council Women in Data, advocating for diversity and inclusion in the industry.
Lydia Chen, Head of Audience Insights at Gannett | USA Today, is recognized as one of the Top 30 Women in FinTech by RE·WORK, with projects featured in Forbes and The New York Times. With over a decade of experience in financial services and technology, she's known for her expertise in data science, machine learning, and analytics. Lydia holds a Master of Science (M.S.) from The University of Texas at Austin and a Bachelor of Arts (B.A.) from The Johns Hopkins University. Currently, she's leading data science initiatives at Gannett | USA Today and has previously held key roles at USAA and Mu Sigma Inc. Lydia is also actively involved in promoting diversity and inclusion in the field through her work with organizations like AnitaB.org and Women in Data Science (WIDS).
Dr. Rumman Chowdhury is a leading figure in AI ethics, blending data science and social science to create ethical AI solutions. She's CEO of Humane Intelligence, co-founder of Parity Consulting, and a Responsible AI Fellow at Harvard's Berkman Klein Center. Previously, she led Twitter's ML Ethics, Transparency, and Accountability team and founded Parity. Dr. Chowdhury advises on AI safety at the U.S. Department of Homeland Security and serves as a U.S. Science Envoy for AI. She holds degrees from MIT and Columbia University and volunteers for Technovation and the Open Data Science Conference.
Karin Chu, Ph.D., is the Vice President and Head of AI / GenAI, Analytics Engineering at Peapod Digital Labs, Ahold Delhaize USA. With a background in statistics and pure math, she spearheads enterprise data science initiatives, leading her teams to create innovative solutions for hyper-personalization, machine learning, and analytics. Previously, she played key roles at Behold, Nordstrom Trunk Club, CVS Health, and Northern Trust Corporation. Dr. Chu holds a Ph.D. in Statistics from Texas A&M University and a Bachelor of Science in Applied Mathematics from the University of Wyoming. She also volunteers her expertise as a pro bono statistician for organizations worldwide.
Vidhi Chugh is a seasoned Chief AI Officer, AI strategist, and advisor, recognized as a LinkedIn Top Voice and a leading expert in AI ethics and governance. With extensive experience in data science, product development, and research, she specializes in designing trustworthy AI solutions. Vidhi's career highlights include speaking at global AI conferences, driving transformative AI initiatives, and being honored for her contributions to AI inclusion and innovation. She currently serves as the Chief AI Officer at All About Scale, where she designs end-to-end AI strategies for Fortune 500 companies. Additionally, Vidhi is a board member at the Institute of Product Leadership, an ambassador at Gartner, and a LinkedIn Learning instructor. She is also actively involved in volunteering, serving as a Women in Data Science Ambassador and a technical reviewer for SciPy.
Tia (Teodora) Cifu is an experienced Analytics and Strategy professional with a strong background in business intelligence and analytics. She currently works as a Senior Strategy & Financial Analytics Manager at Zumba, where she focuses on developing key business KPIs, providing strategic insights, and supporting budgeting and forecasting across departments. Tia has held previous roles at Royal Caribbean Group, Sony Music Entertainment, and the Florida Panthers, where she specialized in sales analytics, consumer data analysis, and business performance monitoring. She holds an MBA in Business Intelligence & Analytics and a Bachelor of Science in Mathematics from Nova Southeastern University. Tia is skilled in tools such as Excel, Tableau, and Power BI, and has a passion for strategic planning and communication.
Christianna Clark is currently serving as a Generative AI Field Solutions Architect at Google, based in Austin, Texas. With a background in data science and engineering, she has held various roles, including Head of Data Science and Engineering at Methods+Mastery and Machine Learning Engineer at Talentpair. At Talentpair, she focused on optimizing natural language processing models for job matching and developing candidate relevance matching algorithms with high accuracy. She also founded Women In Entrepreneurship, an organization promoting innovative ideas and personal growth among young women via entrepreneurship. Christianna holds a Bachelor of Arts in Mathematics with a Minor in Statistics from Texas A&M University and an Associate of Science from Columbus State Community College. She is actively involved in volunteering as an Ambassador for Women Techmakers and a member of Austin Women in Technology (AWT).
Fabiana Clemente is the Co-Founder and Chief Data & Product Officer at YData, based in Seattle, Washington. YData offers a data-centric platform aimed at enhancing the quality of training datasets, thereby accelerating AI solution development and increasing return on investment. Fabiana's role involves overseeing the platform's development and implementation, which includes automated quality profiling and leveraging state-of-the-art synthetic data generation techniques. She is also a member of the Forbes Technology Council and a founding member of the Data-Centric AI Community. Additionally, Fabiana serves as the Startup Data Lead at the Center for Responsible AI, where she contributes to initiatives aimed at promoting responsible AI practices. She holds a Master's degree in Information Management with a specialization in knowledge management and Business Intelligence from NOVA IMS Information Management School, as well as a Master's degree in Applied Econometrics and Forecasting from ISEG - Lisbon School of Economics & Management.
Michelle A. Coca is a Data & Analytics Senior Consultant at SEI in Miami, Florida, with over six years of experience in financial services and marketing. She excels in analyzing data to develop solutions based on defined KPIs and deploying them across organizations. Previously at Amerant Bank, Michelle extracted and analyzed data, built predictive models, and designed Big Data analytical solutions. She holds an M.S. in Applied Economics and a B.A. in Political Science and Economics from Florida State University. She's also a volunteer at Habitat for Humanity of Greater Miami.
Anna Coenen is a Machine Learning Manager at Netflix, based in New York, with a background in data science and cognitive science. She has over six years of experience, including roles as the Executive Director of Data Science at The New York Times and Lead Data Scientist. Anna holds a Ph.D. in Cognition & Perception from New York University, where she applied machine learning models to human cognition. Her expertise spans statistical data analysis, Bayesian statistics, and experimental design. Anna is also a volunteer Data Expert at DataKind.
Marie Crappe, a Head of Data with degrees from HEC Paris and Telecom ParisTech, has led data initiatives across industries. Currently freelancing at Choose, she previously held roles at sunday and Veepee, managing AI projects. As CTO at StaffMe, she built tech teams and implemented BI solutions. Her experience at Talan Consulting involved aiding businesses in AI adoption, including projects in public transportation. With a blend of business and engineering acumen, Marie drives impactful data projects.
Poppy Crum, a CTO, neuroscientist, and innovator, holds post-doctorate in Biomedical Engineering from The Johns Hopkins University School of Medicine and a PhD in Neuroscience/Computational Psychology from the University of California, Berkeley. Currently consulting at Universal Music Group and serving as Innovation Director at Giant Step Capital, Poppy is also an Adjunct Professor at Stanford University. She's involved in organizations like the Consumer Technology Association and Milo, holding leadership roles in the International Telecommunications Union. Recognized for her contributions, Poppy has received the Hedy Lemarr Award for Technology Innovation and was listed on TV Technology’s 20 Leaders to Watch list.
María Paz Cuturi is a Senior Machine Learning Engineer at Tryolabs. Previously, she worked as a Web Software Developer at Qubika and as a Communications Specialist at Flokzu. With a background in computer science from Universidad de la República and communication sciences from Universidad Católica del Uruguay, María Paz brings a diverse skill set to her roles. She also has extensive experience as a freelance translator, specializing in English to Latin American Spanish translations.
Sam Cvetkovski, Director of Data & Analytics at TOCA Football, is a seasoned analytics leader adept in predictive modeling and fostering data-driven cultures. With past roles at Mindbody and Slalom, she's demonstrated her knack for translating complex concepts into actionable insights. Sam holds a Master's in Analytics and a Bachelor's in Applied Mathematics. She's also active in mentoring through Veterati and volunteers with USC Viterbi Data Analytics Boot Camp.
Amy Daali, Ph.D., is an AI expert and engineer advocating for gender equity in tech. With a Ph.D. in Engineering from the University of Texas, she's the Founder & CEO of Lucea AI, simplifying AI for leaders. She also founded Moonshot 4 HER, empowering women in tech. Amy has spoken at major conferences and led innovative projects at USAA and Invictus Medical. She holds a Ph.D. and Master's in Electrical Engineering and is a founding member of Executive Council Network
Anusha Dandapani is the Chief Data & AI Services Officer at UNICC since July 2020, leading data and analytics services and partnering with UN organizations, industry, and academia to leverage AI and data science. She also teaches Data Visualization at Fordham University and Data Analytics at NYU School of Professional Studies. Anusha serves as a Core Commission Member at the NYC Department of Education, guiding CTE program development since October 2019. She previously held VP roles at Barclays, focusing on data science and financial crime. She holds a Master’s in Business Analytics from NYU Stern and an Associate's in Interior Design from Parsons. She is certified in Developing AI Applications on Azure and has volunteered with Global Glimpse and STEM initiatives for Women in Technology at Barclays.
Debasmita Das is a seasoned data scientist specializing in finance and artificial intelligence. With over 9 years of experience, she focuses on Generative AI, Fraud Detection, Anti-Money Laundering, and HR Analytics. Currently leading a Data Science team at Mastercard, she develops AI-driven solutions for both internal and external stakeholders. Debasmita has authored multiple research papers and holds 3 granted patents in the field. She is recognized as one of the ‘Women to Watch Out for in AI & Analytics’ at the 3AI PINNACLE AWARDS 2023 and has served as a guest lecturer for Executive MBA batches at the University of Oxford. With a PGDM from the Indian Institute of Management, Lucknow, and a Bachelor of Technology in Information Technology from Dr. B.C. Roy Engineering College, Durgapur, she brings a strong academic background to her professional expertise.
Gabriela de Queiroz serves as the Director of AI at Microsoft for Startups, aiding AI startups. Previously, she was a Principal Cloud Advocate at Microsoft, focusing on AI. Additionally, Gabriela teaches AI and Data Science at Pontifícia Universidade Católica do Rio de Janeiro. She founded R-Ladies, a global organization promoting diversity in the R community, and AI Inclusive, aimed at increasing minority participation in AI. Gabriela is also an Advisory Council Member for NumFOCUS. She holds a Master of Science in Statistics from California State University - East Bay.
Zhamak Dehghani is the Founder and CEO of Nextdata, a company focused on reshaping data platforms. Previously, she spent over a decade at Thoughtworks, where she held various roles including Director of Next Tech Incubation NA and Principal Consultant. Zhamak has a Master's degree in Information Technology Management from the University of Sydney and a Bachelor's degree in Computer Software Engineering from Shahid Beheshti University.
Yasmary Diaz is a Staff Software Engineer at Etsy with over 16 years of experience in architecting, implementing, and maintaining data-centered solutions. She is passionate about machine learning, automation, and advocating for underrepresented groups in STEAM. Yasmary is known for her empathetic leadership style, fostering lasting relationships, and her commitment to diversity and inclusion. She has held various roles at Etsy, including Senior Engineering Manager, and previously worked at UKG and IBM. Yasmary holds a Master's and Bachelor's degree in Computer Science from Florida International University, where she was actively involved in Women in Computer Science and other academic activities.
Ying Ding is the Bill & Lewis Suit Professor at the School of Information, Dell Medical School, University of Texas at Austin. With a focus on AI in healthcare and medicine, she leads initiatives in generative AI in healthcare at the university's Generative AI Center, aiming to advance AI technologies for medical imaging diagnosis, medical NLP, and explainable AI on health risk prediction. Additionally, she serves as a strategic advisor at Katana Graph, providing guidance on graph solutions for the healthcare industry. As the Co-Founder and CSO of Data2Discovery Inc., Ying applies semantic technologies to integrate, mine, and predict associations among drug, disease, and gene data to aid in curing diseases and promoting healthier living. She holds a PhD from Nanyang Technological University Singapore and completed her postdoctoral research in Semantic Web at the Free University of Amsterdam.
Denisse Disla is a Data Analyst in FinTech, currently the Director of Data Analytics at Linqto. With a background in psychological research and business development, she completed a Data Analytics bootcamp at Ironhack and holds a certificate in Machine Learning Engineering from FourthBrain. She specializes in Python, MySQL, Tableau, PowerBI, and machine learning, and is passionate about using data science to solve complex problems.
Surnjani Djoko, PhD, is a seasoned professional specializing in Machine Learning/AI. Currently, as the SVP of Specialized ML/AI, she leads the USPBA Innovation Lab at Citi, focusing on business insights and product development. In her role, she applies her expertise in financial analysis, machine learning, and other related skills to drive innovation and develop AI solutions. Prior to her current position, she served in various leadership roles, including SVP of Credit and Obligor Risk Analytics and Modeling at Citi and Senior Lead Quant at Wells Fargo's AI/ML Center of Excellence. With extensive experience in leading AI/ML projects and conducting research on fairness in ML, Surnjani has made significant contributions to the development and implementation of AI technologies in the finance industry. She holds a Ph.D. in Computer Science and Engineering from The University of Texas at Arlington, with a specialization in data mining and artificial intelligence algorithms. Additionally, she earned an MBA from the Naveen Jindal School of Management, UT Dallas, further enriching her expertise in business and technology.
Olivia Do is a Product Manager at Streamlabs, where she brings over a decade of experience in data strategy and product management to drive innovation and enhance user experiences. Before joining Streamlabs, Olivia held key roles at prominent companies such as Code and Theory, Condé Nast, and NJM Insurance Group, where she contributed to data strategy, product development, and implementation. With her background in management information systems and marketing from Rowan University, Olivia combines her technical expertise with a strategic mindset to deliver impactful solutions. Additionally, she is dedicated to community service and has volunteered as a Junior Board Member at Miss Amazing Inc.
Ana Maria Echeverri is an experienced AI Strategic Growth Leader with a three-decade career spanning AWS, IBM, and Microsoft. She's known for pioneering contributions to data and AI, earning accolades like the 2020 IBM Outstanding Technical Achievement Award and the 2022 AI Innovator of the Year Award. With degrees in Computer Engineering, an MBA, and a Master of Science in Analytics, Ana Maria excels at merging AI technology and business expertise for successful enterprise AI adoption. She also volunteers as a member of the Code the Dream Board of Directors and the Town of Cary steering committee.
Laura Edell is the Chief Data Scientist for AI Market Development, Sustainability, and Innovation at Microsoft. With over 15 years of experience in data science, she leads the strategy and execution of digital transformation initiatives using analytics, artificial intelligence, and machine learning across various industries. Laura specializes in deep learning use cases, ensemble models for computer vision, natural language processing, and large language models. She also has expertise in business intelligence, lean six sigma, and performance management. Laura is passionate about promoting AI across organizations, supporting AI for Good initiatives, and mentoring women in tech.
Rana el Kaliouby, Ph.D., is the Co-Founder and General Partner of Blue Tulip Ventures, an AI investor, entrepreneur, and thought leader. She founded Affectiva, a pioneering company in Emotion AI, and served as its CEO. Rana is an Executive Fellow at Harvard Business School, where she co-teaches classes on AI-based businesses and ethics. She is also a Venture Partner at BOLD Capital Partners. Rana holds a Post-Doc in Computer Science from MIT and has completed executive education in Global Leadership and Public Policy from Harvard Kennedy School. She volunteers as a member of the Board of Trustees at Milton Academy and the Museum of Science, reflecting her commitment to education and science.
Carmen Elias is the Vice President of Engineering at American Express, leading the Travel and Lifestyle Services technology team. With over 15 years of experience in engineering leadership roles within the financial services industry, Carmen specializes in managing complex projects with a focus on big data and machine learning. She is dedicated to delivering innovative solutions that enhance customer experience, drive revenue growth, and optimize operational efficiency. Carmen has a strong track record of delivering measurable business outcomes, managing budgets exceeding $20M, and building high-performing engineering teams of over 250 members. She is skilled in strategic relationship-building, providing clear vision and direction, and effective collaboration across organizational levels. Carmen holds a Bachelor's Degree in Computer Science from Barry University and has earned a Harvard Certificate in Leadership Excellence from Harvard Business Publishing Corporate Learning.
Elenita Elinon is the Executive Director at JPMorgan Chase & Co., with over 22 years of experience in the financial industry. Prior to this, she served as a Senior Software Engineer at Thomson Reuters and held positions at Sailfish Systems, Ltd., Bear Stearns, Sanwa Derivatives, and Merrill Lynch. Elenita holds a Master's degree in Computer Science from Rutgers University and a Bachelor's degree in Computer Science from Ateneo de Manila University. She is also actively involved in volunteering and champions women in technology through her work with Numfocus.
Laura Grace Ellis is the Vice President of Data & AI at Rapid7, with extensive experience in leading global data teams and defining data strategy. She specializes in data engineering/storage, analysis, machine learning, and data literacy, driving tech programs and solutions to improve business performance. Prior to Rapid7, she held key roles at IBM, contributing to cloud analytics and platform architecture. Laura holds a Master of Science in Predictive Analytics from Northwestern University and a Chief Data Officer Executive Certificate from Carnegie Mellon University. She also volunteers as an Image Consultant at Dress for Success Austin and as a Data Science Badge Reviewer at The Open Group.
Natasha Ericta is a seasoned statistician with over 15 years of analytical experience, specializing in data science modeling, programming, and statistical theory. She has held leadership roles in companies like Aspiration, Jukin Media, and National Research Group, driving analytical initiatives and managing data science teams. Natasha holds a Master of Science in Statistics and a Bachelor of Science in Mathematics Applied Science from UCLA. Outside of work, she volunteers as a Veterinary Coordinator at Forte Animal Rescue, demonstrating her commitment to animal welfare.
Natalie Evans Harris is a seasoned data scientist, strategist, and speaker dedicated to leveraging data for social good. As the Founder & President of Harris Data Consulting and the Executive Director of the Black Wealth Data Center, she focuses on advancing racial equity through data-driven initiatives. With extensive experience in the public sector, including roles at the U.S. Department of Commerce, Natalie is known for her expertise in developing strategic data plans. She co-founded BrightHive, a data trust platform, and established the Community-driven Principles for Ethical Data Sharing (CPEDS) community. Natalie holds an MPA in Information Systems Security from The George Washington University and a Bachelor's Degree in Sociology from the University of Maryland Eastern Shore. She is also a sought-after speaker on the global stage, advocating for the ethical use of data for societal benefit.
Hoda Eydgahi is an accomplished leader in applied machine learning engineering and data science, with a track record spanning various prominent tech companies. Currently serving as the Director of Applied Machine Learning Engineering at Shopify, she drives innovation in data product development. Prior to this, she held positions at Brex and Stitch Fix, where she led data science and machine learning engineering teams. Hoda is also an angel investor and scout at Andreessen Horowitz, where she advises and invests in founders focused on creating data-driven solutions. She holds a Ph.D. and an M.S. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, with a specialization in machine learning and wearable sensors.
Elena Ferri is a dynamic leader renowned for integrating AI/ML and data-driven strategies into business operations. With a background in mathematics and computer science, she has led transformative initiatives at top institutions like the Federal Reserve Bank of New York, Deutsche Bank, and Goldman Sachs. Elena fosters innovation and collaboration, driving teams to tackle complex challenges with novel solutions. She holds a Laurea in Mathematics from Università degli Studi di Firenze and brings extensive international experience to her leadership roles in New York.
Ariadna (Ari) Font Llitjós, PhD, is the Co-founder and CEO of Alinia AI, where she enables enterprises to evaluate, control, and optimize Gen AI applications. With a background in NLP and AI, Ari has over 23 years of software engineering experience. Previously, she served as the Senior Director Of Engineering at Twitter, leading the ML Platform, including META (ML Ethics Transparency and Accountability) and Responsible ML. Ari has also held leadership positions at IBM, where she led teams in developing AI-infused applications and NLP services.
She holds a PhD in Language and Information Technologies from Carnegie Mellon University and is passionate about bringing people together to build innovative and responsible AI solutions.
Nicole Darden Ford is the SVP & Chief Information Security Officer (CISO) at Nordstrom, where she drives digital transformation and strategic growth through cybersecurity leadership. With over 20 years of IT strategic experience, she has led cybersecurity programs across industries, including roles at Rockwell Automation and Carrier Global Corporation. Nicole is recognized for building scalable, future-ready security platforms, and has been honored with multiple awards, including the Top 100 CISO Award and CSO50 recognition. She is also an advocate for diversity, equity, and inclusion, and actively mentors the next generation of cybersecurity professionals.
Celeste Fralick, Ph.D., is an esteemed executive and data analyst with over four decades of experience across nine diverse markets. She is recognized for her expertise in statistics, machine learning, neural networks, and artificial intelligence. Celeste has served on the Board of Directors for two medical companies, Aspira Women's Health and Choir Corp, and was named one of Forbes' "America's Top 50 Women in Technology" in 2018. As Chief Data and Technology Officer at Choir Corp, she orchestrates energy solutions for the green economy.
Celeste is also the Principal Managing Partner at Purkinje Science and Technology, where she provides consulting services in analytics and data science. Her illustrious career includes roles at McAfee and Intel Corporation, where she led advanced analytics and AI development. Celeste holds a Ph.D. in Biomedical Engineering from Arizona State University and a Bachelor's degree in Microbiology & Chemistry from Texas Tech University. She is a Certified Quality Auditor and actively contributes to charitable initiatives, including serving as a Trustee for the Childers-Fralick Basic Cancer Endowed Chair at TTU Health Sciences Center.
Christine Francisco is a seasoned data analyst with over a decade of experience delivering data-driven insights to senior leaders for making critical business decisions. She excels in collaborating across technical and business teams to execute analytical projects efficiently, even under tight deadlines. Her expertise extends to strategizing cost-saving solutions for process automation and refinement. At JPMorgan Chase & Co., Christine has held roles including Assistant Vice President in Data Analytics and Metrics and Vice President. Prior to that, she served at GEICO as a Statistical/Business Analyst, where she created automated reports for senior executives and implemented performance measurement tools.
Christine holds a Master of Science in Management Information Systems from Baruch College, City University of New York (CUNY), and a certificate in Python for Data Science from Cornell University. She is also certified in Alteryx Designer Core and as a Certified Scrum Product Owner (CSPO). In addition to her professional achievements, Christine is actively engaged in volunteering, currently serving as the Membership and Engagement Lead for PRIDE Florida at JPMorgan Chase & Co.
Laura Gabrysiak is a seasoned Senior Data Scientist with over 13 years of experience, specializing in advanced analytics, machine learning, data visualization, and team management. Currently serving as Sr. Manager of Global Data Science at Visa, she leads analytics and data visualization initiatives, driving quality improvements and user engagement. With a Master's Degree in Information Systems from Humboldt-Universität zu Berlin and a Master's degree in Design Thinking/UX from Hasso Plattner Institute, Laura is deeply involved in the data science community, co-founding R-Ladies Miami and advising at the University of Miami Frost Institute for Data Science & Computing.
Diala Gammoh is a dedicated Teaching Assistant at the American Community School in Amman, where she has been actively involved since 2016. She holds a Master's degree in Multidisciplinary Studies from Buffalo State University, focusing on Education and Teaching. In addition to her educational role, Diala has served as a Freelance Substitute Teacher and as Assistant General Manager/Logistics Coordinator at Dots Pro. She is also engaged in volunteer work as a Freelance Data Collector for World Vision International, demonstrating her commitment to community service. Furthermore, she holds certifications in Developing Collaborative Groups and Heartsaver First Aid CPR AED from Adaptive Schools Foundation Seminars and the American Heart Association, respectively.
Mariana Garcia is a Data Scientist and ML Engineer at Slalom, specializing in advanced analytics and machine learning projects that enhance client operations and customer experience. With expertise in cloud technologies, particularly AWS, she excels in creating machine learning workflows and translating complex business questions into actionable insights. Mariana has a background in applied economics and is passionate about healthcare analytics and sustainability. She has held roles as Principal and Senior Consultant at Slalom, Data Science & Analytics Manager at BankUnited, Data Scientist & Analytics Consultant at Deloitte, and Sr. Analytics Consultant at ByteCubed. Mariana holds a Master of Science in Applied Economics from Johns Hopkins University and a Machine Learning Engineer Nanodegree from Udacity.
Olga Gareeva is a Partner & Managing Director at AlixPartners with over 20 years of experience in digital transformation and operational excellence. She leads the Americas Tech Modernization practice, advising C-suite clients on leveraging data and technology. Olga has a track record of success with Fortune 500 companies and has held leadership roles at Deloitte, Constellation Brands, and Bacardi. She is also a member of Chief, a network for women leaders, and has participated in educational programs like The Culinary Institute of America's Regional Italian Boot Camp and Section4's Brand Sprint with Professor Galloway.
Garima Garg is a Staff Data Scientist at Raya with 8 years of experience in the field. Previously, she has worked at Shift Technologies, Inc., FabFitFun, BuzzFeed, Kohl's, Accenture, and the University of Washington. Her expertise includes building Recommender Systems using Open AI and LLMs, pricing ML models, formulating optimization frameworks, anomaly detection, A/B testing, and working on recommendation and personalization systems. She holds a Master's Degree in Statistics & Applied Mathematics from the University of California, Santa Cruz, and a Bachelor of Technology in Computer Science and Engineering from Jaypee Institute Of Information Technology, Noida. Garima has also completed certifications in Making Sense of Data from Google and Statistics from Coursera. She has worked on various projects, including predicting Alzheimer's disease based on 3D brain data and analyzing imbalanced class problems in player datasets. Additionally, she has volunteered as a Math Instructor at Feminist Approach to Technology.
Jennetta George is an AI/ML Expert, recognized as one of the Women of the Future Top 100. With a background in theoretical mathematics and entrepreneurship, she has 11 years of experience in building data-driven solutions. Currently, she serves as the SVP of Digital AI & Data at AlixPartners, leading AI advisory and GTM growth. She is also the Founder & CEO of Artificially Intelligent, LLC, an AI/ML advisory firm. Previously, Jennetta has held roles such as AI/ML Manager at Apple, Global AI Leader at Slalom, and Chief Data Scientist at Maximus | Attain. Her expertise lies in AI strategy, leadership, go-to-market strategy, and building AI products in production. She holds Master's degrees in Mathematics and Computer Science from KTH Royal Institute of Technology and Theoretical Mathematics from Stockholm University, with a focus on artificial intelligence.
Amy Gershkoff Bolles, Ph.D., is a seasoned executive known for leading high-performing teams, driving successful exits, and unlocking growth across various sectors. Currently, she chairs the Advisory Board for Product & Technology at Boats Group and is a Founding Member of Chief. Previously, she held key roles at Levi Strauss & Co. and Tradesy, where she facilitated acquisitions and led digital strategy. Amy holds a Ph.D. and a Master's degree in Political Science/Quantitative Methodology from Princeton University.
Devshree Golecha, recognized as one of the "40 Under 40" and a Global Data Power Woman, currently serves as the Head of Enterprise Data & Business Intelligence at Step Up For Students. She is also a Board Member at PriceEasy AI, an Adjunct Professor of Data Science at Southern New Hampshire University, and holds the position of VP of Data Insights & Analytics at TDECU. With extensive experience in data science and analytics, Devshree has contributed significantly to various educational institutions and holds a postgraduate degree in Data Science from Purdue University. Additionally, she is a Lean Six Sigma Master Black Belt and has completed an Executive Program in Artificial Intelligence from MIT Sloan School of Management. Devshree is also actively involved in volunteering, serving as a Global Editorial Board Member for CDO Magazine and as the Chair of Texas CDO RTF.
Madison Gooch serves as the Vice President of watsonx at IBM, bringing over five years of experience within the company. In her current role, she is responsible for leading Watson Applications and Solutions, driving data, AI, and automation sales, and overseeing enterprise data and business intelligence initiatives. With a strong background in sales strategy and execution, Madison has previously held positions such as Chief of Staff for IBM Watson AI and Technical Go-to-Market, Global Sales Leader for IBM Watson AI, and North American Sales Leader for IBM Analytics. She holds a Bachelor of Business Administration from the University of Kentucky and Universidad Carlos III de Madrid, along with certifications as an IBM Certified Solution Architect for Cloud Pak for Data V2.5. Madison is also actively involved in volunteering, serving as the President of the Appalachian Outreach Mentoring Program and as a Trainer for 4 Paws for Ability, where she trains service dogs for children with disabilities.
Hillary Green-Lerman is a Data Visualization Platform Expert with extensive experience in building data-driven product development cultures. Currently at Google, she manages a team powering analysis and reporting for Google Cloud Sales. Previously, she excelled at Codecademy and Knewton, where she led data science curriculum design and internal analytics efforts. Hillary's expertise lies in democratizing data access and creating impactful visualizations. She also volunteers as a tutor for low-income students in math.
Michelle Gregory is a seasoned business leader in the technology and AI industries with over two decades of experience. Currently serving as the Senior Vice President of Data Science at [24]7.ai, she is responsible for defining the AI roadmap for conversational AI and leading the company's AI solutions team. Michelle has a track record of success in managing operational budgets and capital expenses, with notable achievements including reducing processing costs by $600k and increasing chemical entity extraction from journal articles by 35X. She holds a PhD in Linguistics and Cognitive Science from the University of Colorado Boulder and has extensive experience in modernizing data science pipelines and integrating AI/ML into company workflows. Michelle is also known for her community involvement and innovation efforts, including advising governments on AI systems and privacy.
Yasaman Hadjibashi is the CEO and Co-founder of Stretch, a Dallas-based company providing financial aid programs for justice-involved populations. Previously, she served as a Board Member for Citi Department Stores National Bank and held leadership roles at Citi and Barclays, driving data strategy, innovation, and digital transformation. Yasaman holds an MBA from Harvard Business School and a Bachelor of Science from the University of California, Berkeley, Haas School of Business. She has also been active in political volunteering, supporting initiatives like Biden for President and Julián Castro’s 2020 U.S. Presidential Campaign.
Heather Harris is the Field Chief Data & Analytics Officer at Alteryx, where she leads innovative data science, AI, and advanced analytics teams across various industries. She's known for delivering actionable insights for customer journey, personalization, and strategic marketing. Heather also serves as an Advisory Board Member for the Tombolo Institute at Bellevue College and mentors female executives in analytics through Women in Analytics. She holds an MS in Data Science & Information Management from the University of Washington and is certified in Alteryx Core and Alteryx ACE. Additionally, she volunteers as a board member for the Bellevue Presbyterian Church.
Lauren Hasson is a Senior Engineering Leader with expertise in web, mobile, AI/ML, and InfoSec. She's also a social impact entrepreneur, keynote speaker, and best-selling author. Lauren is the Founder of DevelopHer, where she helps thousands of women achieve successful technical careers through various offerings such as keynote speaking, podcasts, blogs, online learning, and mentoring. She's known for driving revenue through engineering leadership and igniting potential for high-trust teams. With a triple major in Electrical Engineering, Computer Science, and Economics from Duke University, Lauren has a proven track record of success, including winning multiple hackathons, speaking engagements at leading organizations like Google and Dell, and being featured in Apple keynotes. She's currently the Director of Software Engineering, Core Apps + AI/ML, leading cross-functional web projects and establishing processes for improved collaboration and product quality. Lauren also serves on the UN EQUALS Leadership Council and is passionate about fostering inclusive cultures and advancing diversity in tech.
Marti Hearst is a Professor at UC Berkeley with a wealth of experience spanning over 27 years. Before joining UC Berkeley, she served as a Member of the Research Staff at PARC for three years. Marti's expertise lies in machine learning and human-computer interaction, areas in which she has been endorsed by esteemed colleagues and industry experts. At UC Berkeley, she contributes to research and education, shaping the next generation of scholars in these fields.
Amy Heineike is a seasoned VP of Engineering and AI with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and General Artificial Intelligence (GenAI). Her experience includes roles at 7bridges, Primer.ai, and Quid, where she demonstrated exceptional leadership in scaling engineering teams and driving impactful projects. Amy holds a MA in Mathematics from the University of Cambridge and is highly skilled in machine learning, human-computer interaction, and data analytics.
Ella Hilal, PhD, is a highly experienced VP of Data Science and Engineering with over 15 years of expertise in data analysis, machine learning, and autonomous systems. She has a strong leadership background, having built top-tier data intelligence teams and managed strategic partnerships in both academia and the tech industry. Recognized as a leader in data science and IoT, she is an advocate for responsible innovation and women in tech. With a PhD in Pattern Analysis and Machine Intelligence from the University of Waterloo, Hilal possesses excellent communication skills and a solid understanding of software development best practices.
Her most recent role includes serving as VP at Meta, where she leads Monetization Analytics and serves as Pillar lead. Prior to this, she held leadership positions at Shopify, where she accelerated business growth through data-driven strategies and managed large-scale data science teams. Her extensive experience also includes roles at Intelligent Mechatronic Systems (IMS), where she led innovation efforts and managed data intelligence teams, and as a Research/Teaching Assistant at the University of Waterloo and The German University in Cairo. Throughout her career, Hilal has been committed to supporting women in engineering and advocating for STEM education.
Lizabeth Ho is a seasoned marketing data scientist currently serving as Manager of Analytics at Neiman Marcus. With a background in guiding marketing and customer strategy, she specializes in mining customer data to drive strategies and uncover business opportunities. Skilled in SQL, R, Tableau, and Excel, Lizabeth excels in ad hoc reporting, optimizing targeting for campaigns, and presenting actionable insights. She holds degrees from Texas A&M University and The University of Texas at Dallas and is actively involved in the Women In Data Dallas Chapter.
Sarah Hoffman is a seasoned AI researcher, strategist, futurist, speaker, and writer. Currently, she serves as the Principal AI Evangelist at AlphaSense, where she focuses on exploring AI trends. Previously, Sarah was the Vice President of AI and Machine Learning Research at Fidelity Investments and led FactSet’s machine learning and language technology team. With over two decades of experience, she has been featured in various publications including The Wall Street Journal and CNBC. Sarah holds an MS in Computer Science from Columbia University and a BBA in Computer Information Systems from Baruch College. She is also involved in volunteering and speaking engagements in the field of science and technology.
Jessica Hogue is an accomplished executive with over two decades of experience in media, journalism, data, advertising, research, analytics, and technology. Currently serving as the Chief Data Officer for Hearst's consumer media divisions, Jessica is responsible for data strategy, new product development, and governance. Prior to her role at Hearst, she held positions such as General Manager, Measurement and Industries at Innovid, where she led the measurement practice and strategic accounts team. Before that, Jessica spent over a decade at Nielsen in senior commercial and product roles. She is known for her expertise in leveraging data, analytics, and technology in the media and advertising sector, particularly in the realm of Connected TV. Jessica is also active in industry organizations like the IAB, where she serves as Co-chair of the Measurement & Attribution Committee. She holds an MS in Journalism from Columbia University and an Executive MBA from Jack Welch University.
Julie Hollek is the Director of Data Science at Mozilla, where she has been working for over four years. In her role, she manages the Health Data Science team, focusing on enhancing internet safety through data analysis and machine learning lifecycle implementation. Prior to Mozilla, Julie held various data science positions, including roles at Twitter and Neustar, Inc. At Twitter, she managed the Health Data Science team, while at Neustar, Inc., she served as the Lead Data Scientist on Identity, focusing on topics such as entity resolution and differential privacy in ad tech. Julie holds a Ph.D. and a Masters's degree in Astronomy from The University of Texas at Austin and has also participated in a software engineering fellowship at Hackbright Academy. She is known for her expertise in data analysis and machine learning, as well as her commitment to promoting diversity and inclusion in the tech industry.
Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot. She's known for her ability to blend business and technology, identifying disruptive trends in analytics. Cindi hosts "The Data Chief" podcast and has received numerous accolades in the data industry. Before ThoughtSpot, she spent four years at Gartner as Vice President in Data and Analytics. With expertise in BI strategy and AI ethics, she's recognized as a top influencer in analytics. Cindi also volunteers with organizations like Bridges Outreach, Inc. and girls + data.
Nicole Hu is the CTO and Co-Founder of One Concern, Inc., specializing in Resilience-as-a-Service solutions. She leads the Data Science and Engineering Teams, driving end-to-end product delivery. Nicole earned recognition as one of Forbes' 30 under 30 innovators. Prior to One Concern, she worked as a Software Development Engineer at Flipkart and interned at Symantec. Nicole holds a Master of Science in Computer Science from Stanford University. She's also been involved in projects like using machine learning for earthquake damage prediction.
Caitlin Hudon is a skilled data science leader currently serving as a Data Scientist at Figma. With a background in statistics and English, she approaches problem-solving with a holistic perspective. Previously, Caitlin held roles such as Principal Data Scientist and Lead Data Scientist at OnlineMedEd, where she established data science departments and infrastructure, managed teams, and tracked metrics for product development. She also worked as a Sr. Data Scientist at Shelfbucks, focusing on IoT data analysis for supply chain optimization. Caitlin holds a Bachelor's degree from Loyola University Chicago and is actively involved in volunteering with organizations like NASA and R-Ladies, where she co-founded and co-organizes R-Ladies Austin.
Romy Hussain is a healthcare AI/ML executive, currently the Vice President of Data, Machine Learning, and Analytics at Cohere Health. With extensive experience in applied research and development, he specializes in designing ML and AI solutions for future healthcare challenges. Previously, he held key roles at Optum and Johns Hopkins Medicine, focusing on strategic planning, foundational research, and product lifecycle management. Romy holds an MBA from Yale University and a Bachelor's degree from the University of California, Berkeley. He actively volunteers, serving on the Scientific Review Committee for the American Society of Health Economists.
Chip Huyen is an AI founder known for her work in open source and GPU optimization. She currently serves as the VP of AI & OSS at Voltron Data, where she focuses on making data processing efficient on GPUs. Chip is also an adjunct lecturer at Stanford University, teaching machine learning systems design. Previously, she has worked with companies like Snorkel AI, NVIDIA, Netflix, Primer, and Baomoi.com. Chip holds both a Master's and Bachelor's degree in Computer Science from Stanford University. She is also an author and has a passion for travel and writing.
Katerina Iliakopoulou-Zanos is a Senior ML Engineer at Meta (formerly Facebook), where she focuses on modern recommender systems and personalization for Facebook Home Feed and Reels. With over 8 years of experience in software engineering and machine learning, Katerina has made significant contributions to content experiences on social media platforms. Prior to her role at Meta, she served as a Staff Software Engineer at The New York Times, leading projects in personalization and scaling newsroom messaging platforms. Katerina holds dual Master's degrees in Computer Science and Journalism from Columbia University, providing her with a unique blend of technical expertise and media understanding. She is passionate about leveraging technology to reshape information consumption and believes in integrating machine learning with a human-centric approach.
Priya Iragavarapu is the Vice President of Data Science & Analytics at AArete, where she oversees forecasting and data strategies. With a background in leading data excellence centers and big data technologies at companies like American Express and U.S. Bank, Priya brings extensive experience in data management and analytics solutions. She holds certifications from Harvard Business School and Carnegie Mellon University, along with credentials in Snowflake Technical Sales and Chief Data Officer expertise.
Megan Irons is the Director of Data Science at Idea Financial, a position she has held since June 2021. Previously, she worked at FlexShopper for over six years, progressing from Data Science Intern to Data Scientist. Megan holds two Master's degrees, one in Economics and another in Applied Mathematics and Statistics, both from Florida Atlantic University.
Biljana Jovanova is the Senior Manager of Data Science at H-E-B, where she leads the Data Science, Clickstream, Optimization, and Experimentation (DSCOE) team. This team specializes in building custom Machine Learning (ML) and Artificial Intelligence (AI) solutions across various domains including supply chain, merchandising, marketing, store operations, and pricing. Biljana and her team collaborate closely with business teams to develop ML and AI products that leverage data to unlock valuable insights and drive actionable results. With over 4 years of experience at H-E-B, Biljana is known for her relentless focus on innovation and quality, investing heavily in research and development to stay ahead of the curve.
She holds a Bachelor's degree in Finance with summa cum laude honors and a Master of Science degree in Data Analytics with a perfect GPA of 4.0. Additionally, she has certifications in Data Science and Data Engineering, demonstrating her expertise in the field. Throughout her career, Biljana has worked on various projects including Natural Language Processing modeling and Time Series Forecasting, showcasing her proficiency in advanced data analytics techniques.
Ritu Jyoti, the General Manager and Group VP at IDC, brings over 25 years of experience in AI, automation, and analytics. She leads global research in generative AI, machine learning, and computer vision, providing strategic insights to clients worldwide. Ritu's expertise has been featured in The Wall Street Journal and Forbes, and she's a sought-after speaker at industry events. Her leadership roles include positions at Kaminario and Dell Technologies, where she drove business growth and innovation. She holds executive education certifications from The Wharton School and MIT Sloan School of Management, focusing on digital transformation and strategy.
Yi Kang is an experienced data science leader currently serving as the Director of Data Science at Hilton. With a background in quantitative analysis and economics, Yi has a strong track record of driving impactful business decisions through data-driven insights. Prior to Hilton, Yi held various roles at Gannett | USA TODAY NETWORK and CEB (now Gartner), where he led teams in optimizing ad experiences and conducting quantitative analysis for major research initiatives. Yi holds a Master of Arts in Economics from The Johns Hopkins University and a Bachelor of Arts in Economics and Mathematics from Wesleyan College. Additionally, he has contributed to projects featured in Harvard Business Review, focusing on consensus building in purchasing decisions and decision simplicity strategies. Outside of work, Yi has volunteered as a pro bono consultant for organizations like Compass DC, contributing his financial analysis skills to strategic planning engagements.
Supreet Kaur, a leading figure in data and AI, is known for her roles as a LinkedIn Top Voice 2024, Data & AI Product Manager, Solutions Architect, and International Speaker. She excels in innovating AI and data-driven solutions and is adept at crafting successful go-to-market strategies. Notable projects include pioneering AI product testing strategies, developing Python-based personalization engines, and architecting AI-powered forecasting tools. Outside of work, she's a Google Women Techmakers Ambassador, an AI Project Lead at Delta Analytics, and has delivered numerous speaking engagements and thought leadership articles. Currently an AVP at Morgan Stanley, Supreet brings her expertise to drive innovation and growth.
Chandni Kazi is a data scientist with a background in public health, currently focusing on creating inclusive workplaces at Great Place to Work®. She co-founded her company's Asian and Pacific Islander Employee Resource Group and chairs the philanthropic committee. With a Master's Degree in Biostatistics from Loma Linda University, Chandni is passionate about using data for positive change globally. She has also held roles as a product manager and senior data analyst, leveraging her statistical expertise to drive meaningful insights. Outside of work, she volunteers with nonprofits, advocating for social justice and community engagement.
Saira Kazmi, Ph.D., is an accomplished executive known for her expertise in leading teams to deliver advanced analytics solutions. With a background in computer science and engineering, she drives strategies aligning with business goals. Currently serving as Executive Director at CVS Health, she oversees initiatives like Machine Learning Automation and Operations on the Google Cloud Platform. Saira's career spans roles at CVS Health and The Hartford, where she's led data analytics enablement strategies. She's also active in community engagement and mentorship, advocating for women in technology and volunteering on various boards. With a Ph.D. from the University of Connecticut and postdoctoral work at Yale School of Medicine, Saira combines her technical prowess with a passion for driving positive change through data and technology.
Yulia Ibragimova is a Product Manager at Semrush Enterprise, renowned for her expertise in data-driven decision-making. With a background in data science, she leads teams in delivering ML and AI-based features for Semrush Enterprise tools. Previously, as a Data Studies Product Owner and Team Lead, she led a team of data scientists, focusing on internal products related to data, PR pitching, and AI writing automation. Yulia is adept at conducting business-related research and creating public studies related to SEO and digital marketing. Her core competence lies in transforming client research requests into actionable items and providing transparent business-oriented results. Yulia holds a Master's degree in Big Data Analysis from the Higher School of Economics and a Master's degree in Stochastics and Data Science from the Università degli Studi di Torino. She also holds certifications in UX Foundations: Research and Data-driven product management.
Muna Khayyat is an Executive Director and Machine Learning Lead with a rich background in computer science and machine learning. Currently at Morgan Stanley, Muna has over a decade of experience in data science and machine learning, including roles as Vice President and Data Scientist. Additionally, she serves as an Affiliate Associate Professor at Concordia University, where she shares her expertise in pattern recognition and machine learning. Muna's research interests encompass document analysis and recognition, classification, and pattern recognition. She holds a Doctor of Philosophy (PhD) in Computer Science from Concordia University and a Master's degree in Computer Science from the University of Jordan. Muna is also recognized for her contributions to conferences and tutorials in the field of handwriting recognition and document analysis.
GROUPKHATEREH KHODAVIRDI - VP, CONSUMER, GLOBAL GROWTH & ENTERPRISE: DATA SCIENCE, ANALYTICS & AI PRODUCT, PAYPAL
Khatereh Khodavirdi is the Vice President of Data Science, Analytics, and AI Recommendations Products at PayPal. She leads global teams supporting 80% of PayPal’s revenue, including Venmo and Honey, by creating insights and AI/ML products. She has significantly contributed to developing data science at PayPal and integrating analytics into key product processes. Previously, she enhanced PayPal's operational analytics, doubling sales team productivity, and led the finance organization for PayPal’s NA region. At eBay, she helped scale the advertising business to $1B revenue growth. Khatereh is also an instructor at Stanford University and Reforge, and a board member and advisor at StartX. She holds a Master’s degree in System Engineering from Carnegie Mellon University and was a PhD student at UCLA.
Khatereh Khodavirdi is the Vice President of Data Science, Analytics, and AI Recommendations Products at PayPal. She leads global teams supporting 80% of PayPal’s revenue, including Venmo and Honey, by creating insights and AI/ML products. She has significantly contributed to developing data science at PayPal and integrating analytics into key product processes. Previously, she enhanced PayPal's operational analytics, doubling sales team productivity, and led the finance organization for PayPal’s NA region. At eBay, she helped scale the advertising business to $1B revenue growth. Khatereh is also an instructor at Stanford University and Reforge, and a board member and advisor at StartX. She holds a Master’s degree in System Engineering from Carnegie Mellon University and was a PhD student at UCLA.
Monica Klawitter is an accomplished Data Science, Analytics, and Strategy leader with a solid track record of driving measurable impact across diverse business metrics. Currently serving as the Data Scientist Lead at AAA-The Auto Club Group in Dallas, Texas, Monica has previously held positions at AmeriLife, Chico's FAS, Inc., and Match.com, where she spearheaded initiatives to optimize direct-to-consumer channels, led testing functions, and developed algorithms to enhance user experiences. With a Master of Science in Marketing Research from The University of Texas at Arlington and a Bachelor of Science in Business Administration from the University at Buffalo School of Management, Monica combines her academic background with hands-on experience to deliver data-driven solutions that drive business success.
Jennifer Kloke, Ph.D., is currently the Vice President of Artificial Intelligence at Autonomize AI in Austin, Texas. With a background in Mathematics, including a Ph.D. from Stanford University, Jennifer has a wealth of experience in AI leadership and product development. Prior to her current role, she served as a Board Member at Mined XAI and as an AI Engineering Consultant at Bluebirds, where she developed core generative AI algorithms. Jennifer's career highlights include leading transformative AI projects at LinkedIn, such as developing generative AI products and overhauling marketing targeting platforms. Her expertise lies in applying AI to solve complex business challenges and drive tangible results.
Sarah Koehler is currently serving as the Data Science Manager at trivago, with a focus on statistical modeling and experimental design. With over three years at trivago, Sarah has demonstrated expertise in leveraging data to drive strategic insights and business decisions. Prior to trivago, Sarah held positions at Scribd, Inc. and Charles Schwab, specializing in NLP models, experimentation, and statistical analysis. She holds a Master's degree in Applied Statistics from Colorado State University and a Bachelor of Arts in Anthropology from Macalester College. In addition to her professional achievements, Sarah has also volunteered as a Health Center Assistant at Planned Parenthood of the Rocky Mountains, demonstrating her commitment to community service.
Sreevani Konda, currently serving as the Director of Data Analytics and Data Governance at Fidelity Investments, brings extensive expertise in leading data-driven digital transformation initiatives. With a background in strategic consulting and leadership roles at organizations like the Texas Department of Transportation and General Motors, Sreevani has played a pivotal role in driving enterprise information management strategies. She specializes in areas such as master data management, data quality, and data governance, empowering organizations to achieve compliance, business growth, and operational efficiencies. Sreevani is known for her ability to build and lead high-performing cross-functional global teams and for her contributions to the community through writing and speaking engagements on data, analytics, and AI topics. She holds an MBA from Northwood University - DeVos Graduate School and a Bachelor's degree in Computer Science from Osmania University.
Natalie Kortum is the Chief Technology Strategist at Dell, where she combines mathematics with business decision-making. With extensive experience in analytics and AI solutions, Natalie leads strategic initiatives and educates partners on Dell's AI strategy. She holds an MBA from SMU Cox School of Business and a Bachelor's in Pure Mathematics from Texas A&M University, with certifications in data analytics and programming.
Beata Kouchnir, currently serving as the Director of Machine Learning Science at Glassdoor, brings extensive expertise in natural language processing, computer vision, and generative AI. Prior to Glassdoor, she held roles at Facebook, Zulily, and BlueKai (acquired by Oracle), where she led initiatives in machine learning and data science. Beata holds a Master of Science in Natural Language Processing from The University of Edinburgh, where her research focused on pronoun resolution systems for the German language. She also pursued graduate coursework in machine learning, information retrieval, speech processing, and formal grammar. Additionally, she studied Computational Linguistics and English at Heidelberg University.
Olga Kovalevskaya is the Director of Data Science at Universal Music Group, where she has worked for over 8 years, progressing from Senior Data Scientist to her current role. She specializes in applying machine learning and statistical methods to innovate in the music industry, managing projects from data ETL to implementation. Previously, Olga was a Data Analyst at The Walt Disney Studios, where she developed ranking algorithms and optimized SQL queries. She also worked as a Tax Associate at H&R Block and an Auditor at EY. She holds a Master's degree in Applied Mathematics-Economics from Belarus State Economic University and completed a course in Mining Massive Datasets at Stanford University. She is certified by Triplebyte and Google as a Data Scientist and Professional Data Engineer.
Cassie Kozyrkov, currently CEO at a stealth AI startup, is renowned for founding the field of Decision Intelligence during her tenure at Google, where she served as the company's first Chief Decision Scientist. With almost a decade at Google, she trained over 20,000 employees in data-driven decision-making and AI, and helped implement decision intelligence best practices in over 500 projects. Cassie's expertise spans data science, consulting, lecturing, and academia, making her a respected figure in the data and AI community. She holds a BA in Economics from the University of Chicago and pursued a PhD in Psychology and Neuroscience at Duke University.
Yazhene Krishnaraj is a transformational leader specializing in technology and AI/ML, currently serving as the Head of Decision Intelligence at McKesson. She is skilled in creating strategic roadmaps to drive innovation and business value through advanced technology, with experience leading large initiatives and cross-functional teams. Yazhene is also a founding member of Women Leaders in Data & AI (WLDA), an exclusive network focused on supporting women leaders in the data and AI space. Her previous roles include leadership positions at Citizens and General Motors. Yazhene holds executive education credentials from Harvard Business School and is committed to fostering high-performing teams and advancing diversity and inclusion in the tech industry.
Dr. Anastassia Lauterbach is the Founder and CEO of AI Edutainment, a company dedicated to educating families and children about AI in an entertaining and engaging manner. She recently launched the "Romy & Roby" book series aimed at this goal. Additionally, Anastassia serves as an Executive Coach for The ExCo Leadership Group, focusing on leadership development globally. With extensive experience as a former regional CEO and international Non-Executive Director, Anastassia brings a wealth of expertise to various organizations. She holds a PhD in Psychology and Linguistics from Rheinische Friedrich-Wilhelms Universität Bonn and a Diploma in Linguistics from State Lomonosov University, Moscow. Anastassia is also involved in advisory roles with organizations such as LAC² - Lucerne AI and Cognitive Community, The Israeli Association for Ethics in Artificial Intelligence, and Wellbeing at Work World.
Liliya Lavitas, Ph.D., is a Data Science Leader at Google, overseeing safety and reliability efforts. With extensive experience at Netflix and Twitter, she specializes in combating online toxicity and misinformation. Liliya holds a Ph.D. in Statistics from Boston University and has presented research at NeurIPS. She also mentors for organizations like WOMEN IN TECH Global Movement and Boston University.
Linda Leopold is the Head of Responsible AI & Data at H&M Group, focusing on sustainable and ethical artificial intelligence. With over a decade of experience, she has been instrumental in shaping AI policy and strategy. Linda is also an author, with two non-fiction books exploring topics ranging from the bond between straight women and gay men to the world of high IQ societies. She holds a Bachelor's degree in Journalism from Stockholm University.
Alexandra Levinson is a Principal Algorithms/AI Engineer at Elbit Systems of America, where she focuses on software deployment and technical leadership. With a background in mechanical engineering from the University of Florida, she has held various roles in signal processing engineering, analytics, and research, including positions at Raytheon Technologies and Envonics. Alexandra's expertise spans algorithms, data science, and digital signal processing.
Marta Lew is a seasoned Data Scientist with a strong foundation in Strategy Consulting. She specializes in creating compelling data-driven narratives and possesses advanced skills in Python, SQL, Regression, and Classification Models. Currently, Marta holds the position of Principal Data Scientist at DRINKS, where she leads initiatives in Machine Learning and Artificial Intelligence. In her previous role at DRINKS, she focused on developing Computer Vision solutions. Marta has also driven efficiency improvements and transformations during her tenure at Accenture. Her educational background is impressive, with degrees from MIT and SGH Warsaw School of Economics, complemented by programs completed at Northwestern University and General Assembly.
Hongfei Li, PhD, CFA, serves as Managing Director and Chief Data & Analytics Officer, focusing on driving alternative data insights in finance. With extensive experience in solution development leadership, predictive modeling, machine learning, and big data analytics, Hongfei has led teams and delivered value-based services in various roles, including at Osso Capital, Point72, and IBM. Their expertise includes business integration, fundamental research using alternative data, and analytical model development for Smart Commerce Initiatives. Hongfei holds a PhD in Statistics from The Ohio State University.
Kylie Li is a seasoned Machine Learning Engineer and Data Science Leader with over 7 years of experience in driving fintech innovations and strategic data solutions. She has a proven track record of leveraging large language models, data mining, and machine learning to create impactful solutions in financial services. During her tenure at JG Wentworth, Kylie led the development and launch of a transformative personal loan product, projected to generate $120 million annually. She championed the creation of dynamic pricing models and machine learning-based credit risk assessments, resulting in a 20% increase in loan approval accuracy. Prior to this role, she directed a team at T-Mobile to pioneer machine learning initiatives across credit, marketing, collections, and fraud domains, showcasing her commitment to innovation and excellence in data-driven strategy. Kylie holds a Master's degree in Information Science from the University of Pittsburgh and a Bachelor's degree in International Business Law from Guangdong University of Foreign Studies. She has also completed courses in jurisprudence, civil law, and international law.
Dr. Nancy Li is a highly accomplished entrepreneur, product management expert, and educator with over eight years of experience in developing and launching innovative technology products. She is the CEO and founder of PM Accelerator, a leading professional development company for product managers, and has been featured in Forbes. Dr. Li has held prominent positions, including Director of Product at Cox Communications, where she led the go-to-market and product strategy for edge platforms. She holds a Ph.D. in Materials Science and Engineering from Boston University and has studied at MIT Sloan School of Management. Passionate about education and mentoring, Dr. Li founded PMA Kids, a nonprofit dedicated to providing free product management training to high school students. She is also an active mentor for startups and women in tech, with a strong focus on bridging gaps in education and career development.
Valerie A. Logan, CEO & Founder of THE DATA LODGE and Chief Strategy Officer at DATA SOCIETY GROUP, is a seasoned executive and thought leader in Information Management, Analytics, and Data Science. With over 25 years of experience, she specializes in emerging leadership models and Data Literacy. Previously a Vice President Analyst at Gartner, Valerie holds a Master's degree in Applied Mathematics and is dedicated to simplifying complexity and nurturing greatness in others.
Randi R. Ludwig, Director of Data Science at Dell Technologies, leads a team driving data-driven decisions for Global Sales Operations. With a background in astrophysics, including a PhD from UT Austin, Randi brings a unique perspective to her role. She previously co-founded Save Point, creating gamified learning experiences, and has worked on projects ranging from big data pipeline development to teaching astronomy. Randi is dedicated to fostering collaborative learning environments and promoting diversity in data science.
Giorgia Lupi is a Partner at Pentagram, a renowned multi-disciplinary design studio, where she leads various design projects ranging from graphics and identity to data visualizations. With over a decade of experience, Giorgia co-founded Accurat, a data-driven design firm, where she served as Co-founder and Design Director, working with prestigious clients like IBM, Google, and the Museum of Modern Art. She also has experience as a Project Leader at Interaction Design-lab and as an Adjunct Professor at NABA Nuova Accademia di Belle Arti. Giorgia holds a PhD in Information Design from Politecnico di Milano and recently received an Honorary Doctorate of Fine Arts from the Maryland Institute College of Art.
Anita Lynch is a pioneering data leader, known for her roles as Chief Data Officer and corporate board director at top companies like Disney, Amazon, Yahoo, and Apple. Recognized for her influential work, she's among the first African American women to hold the Chief Data Officer position at a US public company. Anita holds an MBA from Harvard Business School and a BS in Economics from Northwestern University, with patents for her innovations. Currently, she serves on the board of Nasdaq U.S. Exchanges and is a Dean's Executive Professor at Santa Clara University Leavey School of Business, while also volunteering with BLCK VC to advance Black venture investors. Her journey from Chicago to Oakland mirrors her commitment to driving positive change through data-driven strategies.
Yuling Ma is a seasoned technology executive with extensive experience leading global teams and delivering products for major companies like FreeWheel, JD.com, and MicroStrategy. Throughout her career, she has excelled in building and motivating development teams, defining strategic plans, and ensuring smooth operations across multiple locations. Yuling holds both a Bachelor's and a Master's degree in Computer Science from Tsinghua University, and her expertise spans areas such as Business Intelligence, Big Data Analysis, Mobile Security/Identity platforms, and Cloud services. Her success is evident in her track record of delivering key products to the global market and growing technology R&D centers from inception to full functionality.
Maria Macuare is a highly accomplished Business Intelligence and Analytics Executive, renowned for her expertise in driving data-based decision-making processes. With extensive experience in leading global teams and advising company executives, she has successfully created effective analytics organizations and services to enable actionable insights across organizations. Maria currently serves as the Global Chief Data Officer at Mondelēz International, where she oversees the MDS Global Data and Analytics division. Prior to this role, she held key positions at Campbell Soup Company, Procter & Gamble, and JD.com, among others. Maria's leadership has been instrumental in delivering significant value to organizations by implementing Big Data and advanced analytics projects and fostering innovation in business processes. She holds a Bachelor's degree in Civil Engineering from UCAB - Universidad Católica Andrés Bello.
Debbie Madden is a serial technology entrepreneur, CEO, founder, and board member with over 25 years of experience. She's the founder and Chairwoman of Stride Consulting, focusing on agile digital transformation. Debbie's expertise lies in scaling high-performing teams and companies, prioritizing diversity and learning from failure. She's also a respected tech thought leader, author, and advisor to organizations like Docker, Inc. and the AI RegRisk™ Think Tank. Additionally, Debbie is an active member of YPO and serves on the board of directors for University Settlement Society of New York.
Boryana Manz, PhD, is a data scientist with over a decade of experience in data science, analytics, and research. At Capital One, she leads a team focused on developing next-generation underwriting models for auto financing. Her work involves novel applications of machine learning for policy optimization and market intelligence, resulting in significant value creation. Prior to Capital One, Boryana worked at PCCI, where she developed predictive models to enhance resource utilization and clinical outcomes in healthcare settings. She holds a PhD in Biophysics from the University of California, Berkeley, and has a strong track record of research and publication in the field.
Angela Manzo, a mathematician with an MIT background, leads the Decision Analysis team at Apple's Infrastructure Division. With expertise spanning diverse sectors like investment banking, life sciences, and consumer electronics, Angela is skilled in managing multimillion-dollar projects and portfolios. She is also a recognized author and keynote speaker, sharing her insights on decision-making and analytics at prestigious institutions like MIT, Harvard, and Columbia. Angela's career highlights include roles at iRobot and EnerNOC, where she contributed to data science and analytics initiatives.
Rochelle March is the founder of People Places Words Actions (PPWA), a consultancy focusing on sustainability solutions. With over a decade of experience, she specializes in impact calculation, sustainability strategy, and applying machine learning to ESG products. Rochelle has held leadership roles at Dun & Bradstreet and S&P Global, where she pioneered ESG product suites. She is also an adjunct professor at Bard College and has a background in cancer research and graphic design. Rochelle holds an MBA/MS in Sustainability from Bard College and a BA in Landscape Architecture from New York University.
Dr. Sherry Marcus, Director of Applied Science at Amazon Web Services (AWS), leads the development of cutting-edge AI generative models and pipelines. With a Ph.D. in Mathematics from MIT, she has held key roles at Blackrock, Millennium Partners, and Credit Suisse, driving AI and machine learning initiatives. Sherry is renowned for her expertise in data science and analytics, contributing to industry events and serving on advisory boards. Beyond her professional achievements, she enjoys solving puzzles and staying active with Pilates.
Viviana Márquez is a Data Scientist and founder of Miss Factorial Academy, where she creates engaging data science and AI courses. She has worked as a Software Engineer at Dataminr and a Data Scientist at HBO Latin America, focusing on machine learning and data analysis. Viviana holds a Master's in Data Science from the University of San Francisco and a Bachelor's in Mathematics from Fundación Universitaria Konrad Lorenz.
Lynn Martin is the President of NYSE Group, overseeing the New York Stock Exchange and various electronic equity and options exchanges. Additionally, she serves as the Chair of Fixed Income & Data Services at ICE, managing fixed income execution venues, securities pricing, analytics, and more. With a background at IBM, she holds a BS in Computer Science from Manhattan College and an MA in Statistics from Columbia University. Lynn is actively engaged in philanthropy, serving on the boards of the Inner-City Scholarship Fund and the Partnership for New York City, among others.
Kim Martin has been a professional computer scientist for over 20 years specializing in data engineering, machine learning, distributed systems optimization and scale, and tech leadership. She has spent her career working on complex big data problems for organizations across the education, entertainment, finance, robotics, and travel domains. She’s created big data solutions, recommendation engines, and custom search applications for companies including the Department of Defense, Cubic, Avis/Budget, Eli Lilly, and HBO. Kim is ex-YouTube, ex-Google, ex-Netflix, and currently an engineering leader at Indeed. Kim holds a BS in Mathematics from Carnegie Mellon University, a Masters in Physical Computing from New York University, and an MS in Computer Science (Machine Learning) from UMass Amherst.
Tatsiana Maskalevich is a distinguished Data Science and Engineering leader known for her ability to merge industrial and academic research to solve complex business problems. With a solid foundation in mathematics and statistics, she has extensive experience in developing products that predict user behavior and implementing scalable solutions. Currently, Tatsiana serves as the Director of Data Science and Engineering at Netflix, a position she has held since March 2023. In addition to her role at Netflix, she is an advisor for both Euno and Wishi, and a board member at The Scandinavian School & Cultural Center. Her expertise also extends to being an active member and investor at InvestInData. Tatsiana's educational background includes a Master's degree in Mathematics from San Francisco State University and doctoral studies in Applied Mathematics and Statistics at the University of California, Santa Cruz. Based in the San Francisco Bay Area, Tatsiana is dedicated to advancing the field of data science through her innovative approach and leadership.
Arianna McClain is an expert in research, strategy, and insights with a notable career in technology and design. Since May 2024, she has been an Operating Partner at Strange Ventures, advising startups. She previously spent over five years at Cruise, where she advanced to Senior Director, Head of Research, Strategy & Insights, leading a multidisciplinary team across various company verticals. Before Cruise, Arianna was Director, Head of Research & Insights at DoorDash, where she built and led the research team, impacting major projects like brand and subscription strategies. Her career also includes roles at Sequoia Capital as a scout and mentor, and at IDEO as a Design x Data Lead. Arianna holds a PhD in Health Behavior Research from USC and completed a postdoctoral fellowship at Stanford. Her expertise in user experience and market research has significantly contributed to the development of user-centered designs and innovative products.
Akanksha Mishra is a Senior Data Scientist at Clarivate with expertise in Natural Language Processing, Machine Learning, and Deep Learning. With a strong background in software programming and data analysis, she is passionate about building data-driven solutions to enhance products and processes. Akanksha holds a Master's degree in Computer Science from Northeastern University and has worked on various advanced analytics projects. She has also contributed to several impactful projects, including crime analysis and the development of custom search engines, and is actively involved in volunteer work to support education for underprivileged children.
Akshata Kishore Moharir is a Lead Data Scientist at Microsoft, specializing in predictive modeling, Explainable AI, and machine learning for various sectors. She is also an Adjunct Faculty at the University of Maryland, Baltimore County, mentoring students and guiding research. Passionate about supporting underrepresented STEM communities, she volunteers as a mentor and inspires young minds as a STEM instructor. With seven US patents and co-authored papers at premier conferences, Akshata is a recognized contributor to AI and machine learning. Her work has been featured in IBTimes India and the Free Press Journal. She is dedicated to advancing AI research and fostering community connections.
Alicia Moniz is a leading Data and AI Specialist at Microsoft with over 15 years of experience in data warehousing and advanced analytics. Known for her contributions to Cloud Solution Architecture for Fortune 10 companies, she provides strategic direction at the C-suite level to enhance Data and AI ecosystems in the cloud. Alicia holds over 12 IT certifications, including AWS, Azure, and Kafka, and is a global speaker on SQL, AI, and event streaming at Microsoft events. Previously, Alicia was a Global Alliances Cloud Solution Architect at Confluent and has held key roles at Avanade and Allegiant Air. She is a three-time Microsoft AI MVP awardee and holds a Bachelor's degree in Computer Science and an MBA in Business Research. Active in Houston's startup ecosystem, she also mentors through Black Girls CODE and serves on Microsoft's Education Sustainability Committee.
Rachini Moosavi is the Chief Analytics Officer at UNC Health, focusing on analytics strategy and community enablement. She has over 17 years at UNC Health, where she also served as the VP of Enterprise Analytics and Executive Director of Data Governance. Rachini ensures data accuracy and supports senior executives in data-related organizational development. Rachini serves as an Advisory Board Member for Modal and AEHADA, and advises Microsoft's Academic Medical Centers. She previously consulted for Stockamp & Associates on patient progression. She holds a Chief Data Officer Certificate from Carnegie Mellon and an MHA from UNC Chapel Hill. Rachini is certified in Epic Clarity Resolute Professional Billing. She is recognized for her expertise in analytics empowerment, digital health transformation, and people enablement.
Barr Moses is the Co-Founder and CEO of Monte Carlo, a leading data reliability company known for creating the industry's first end-to-end Data Observability platform. Since its founding in January 2019, Monte Carlo has earned accolades such as being named an Enterprise Tech 30 company and a CRN Emerging Vendor, while raising $236M from top investors like Accel and Salesforce Ventures. The company boasts an impressive client list that includes Fox, Affirm, and Vimeo. In addition to her role at Monte Carlo, Barr is a member of the Forbes Technology Council and has been an advisor and consultant for various companies since October 2018. Previously, she was VP of Customer Success Operations at Gainsight, where she built and scaled global teams across multiple business functions. Barr holds a BS in Mathematics and Computational Sciences from Stanford University.
Diana Porro Munoz is a Senior Specialist in Data Science at Farelogix, an Accelya Group Company. She holds a PhD in Computer Science from Delft University of Technology and has over 10 years of experience in machine learning research and development. Diana specializes in using machine learning for business decision-making and has expertise in Python and C#. Her previous roles include Director of Data Analytics at Miami HEAT, Principal Data Scientist at Accelya Group, and Lead Data Scientist at Farelogix. She is experienced in all areas of the Software Development Life Cycle and is known for her practical application of theoretical knowledge, problem-solving skills, and effective communication.
Ermira "Mira" Murati, born December 16, 1988, in Vlorë, Albania, is the Chief Technology Officer at OpenAI. She has played a key role in developing ChatGPT, DALL-E, and Codex since joining the company in 2018. Mira's academic background includes studying mechanical engineering at Dartmouth College and earning a scholarship to Pearson United World College in Canada. Her career includes positions at Zodiac Aerospace, Tesla as a Product Manager for the Model X, and Leap Motion (now Ultraleap). At OpenAI, she oversees research, product, and safety teams, advancing AI technology while promoting ethical use. In November 2023, she briefly served as interim CEO of OpenAI. Recognized for her leadership and technical expertise, Mira is a prominent figure in the AI community.
Thulasi Nambiar is Director of Data Science with a proven track record of building, scaling and leading high-performing AI teams. Global experience spanning 7 countries in artificial intelligence, data science, analytics, growth strategy and product development. Skilled in cross-functional communication, people management & stakeholder alignment across fast growing technology startups and global banking organizations. Repeat speaker at Data Science Salon. National winner of BlockChain Hackathon.
Karyna Naminas is the CEO of Label Your Data, a company specializing in providing secure and high-quality data annotation services for Computer Vision or NLP applications since 2020. She leads a team that helps Data Scientists and AI Engineers streamline dataset labeling, allowing them to focus on model development. Additionally, Karyna serves as an advisor at Remoter.me, a data annotation platform with online jobs developed by Label Your Data, offering remote opportunities in AI-related tasks. With a background in Human Resources, Karyna has experience in leading employee engagement strategies, developing internal HR policies, and coordinating onboarding processes. She holds a Bachelor's degree in Journalism from Borys Grinchenko Kyiv Metropolitan University and completed A-Levels in various subjects at St George's School, Ascot.
Amarita Natt, Ph.D., is the Managing Director at Econ One Research. Specializing in advanced analytics and predictive modeling for major airlines, she also teaches Statistics and Computer Methods at UCLA. With extensive experience in predictive modeling and economic consulting, Amarita holds a Ph.D. in Labor Economics from Northeastern University and a B.A. in Economics from UCLA. She is interested in exploring the interplay between quantitative and qualitative data in decision-making.
Anna Nicanorova currently serves as the Chief Technology Officer at Annalect, affiliated with The Wharton School. With over 12 years of experience in technology leadership roles, she has spearheaded various initiatives in engineering and strategy. Anna's journey includes roles such as VP of Engineering and Head of Technology, showcasing her expertise in driving technological innovation. She holds an MBA from The Wharton School with a focus on Marketing & Behavioral Economics and a BA in Marketing Communications & PR from HU University of Applied Sciences Utrecht.
Jean-leah N. is an AI leader and tech expert known for advocating ethical AI. At Lowe's, she directed the NLP/Conversational AI strategy, driving innovative solutions. Previously at Dell, she led enterprise data science initiatives. With a Ph.D. in Computational Material Science and Engineering, she's adept at blending AI with real-world applications. Her dedication extends to volunteering, contributing to science writing and education initiatives.
Liz O'Sullivan is the CEO of Vera, focusing on Generative AI with risk mitigation. She's also a Committee Member at the U.S. Department of Commerce. Previously, she advised at Arthur and served as VP Responsible AI, ensuring AI benefits all. Her expertise spans roles at Surveillance Technology Oversight Project and Clarifai, where she built AI solutions. She holds a Bachelor of Arts in Philosophy from the University of North Carolina at Chapel Hill.
Candace Ohm, PhD, is the local leader of the Boston chapter of Founder Institute at Florida State University. She's a mathematician with expertise in innovative accounting, KPI establishment, and product growth strategy. Her specialties include research, growth hacking, A/B testing, and machine learning. With technical skills in SQL, Python, Tableau, and more, she's led impactful roles at Cardlytics and Dosh, managing teams and driving revenue growth. She holds a Doctor of Philosophy in Mathematics from Florida State University.
Stefania Olafsdottir is the CEO & Co-Founder of Avo (YC W19), a company focused on finding, fixing, and preventing data quality issues. With over six years of experience in this role, she leads the charge in enabling teams to ship faster without compromising data quality. Previously, she co-founded Viska, where she spearheaded various aspects of founding a company, including funding, business strategy, and product management. Stefania's expertise also extends to roles at QuizUp, where she contributed significantly to revenue management and served as Head of Data Science. She holds a Bachelor of Science in Mathematics from Háskóli Íslands, with an emphasis on abstract mathematics and statistics. Additionally, she attended Reykjavik University, focusing on computer science and completing a Master's course on data mining and machine learning.
Tania Oliveira, Head of Data Science at Visa Consulting & Analytics, brings over 15 years of financial expertise across diverse regions. Fluent in English, Portuguese, and Spanish, she excels in product management, sales, risk management, credit scoring, and marketing. Tania's leadership at Visa includes driving strategies to enhance business performance. Previously, at Citibank, she led lending strategies, resulting in substantial revenue growth and successful product launches. Tania holds a Bachelor's in Management from MIT Sloan School of Management and has pursued executive education at Harvard Business School.
Selen Onel is an Associate Director at Chewy, Inc., leading a team of data scientists and data engineers to produce high-impact forecasts and projects. Previously, she was a Lead Data Scientist at Royal Caribbean Cruises Ltd, focusing on revenue management, and at International Flavors & Fragrances Inc., working on supply chain and procurement projects. At Kalibrate Technologies, Selen led software product redevelopment and provided services like network planning and price sensitivity analysis. She also contributed to a data analysis project for the National Renewable Energy Laboratory. Selen holds a Ph.D. in Industrial Engineering, an MS in Computer Systems Engineering, and an MS in Operations Research from Northeastern University, and a BS in Mathematics from Middle East Technical University. With 15+ years of experience, she specializes in AI, ML, forecasting, and customer segmentation. She is skilled at leading high-performing teams and excels in fast-paced environments.
Mimi Park, AI/ML Advisor at Databricks, is a seasoned data leader with over 17 years of experience in machine learning, data science, and analytics. She excels in translating business needs into technical requirements and execution plans, with a track record of successfully executing large-scale projects. Mimi's expertise lies in driving business outcomes through advanced insights and machine learning algorithms, enabling companies to realize ROI from their data investments. Previously, she held roles at JPMorgan Chase & Co., Slalom Consulting, and Neiman Marcus Group, where she implemented innovative machine learning models and strategies to increase revenue and optimize marketing efforts. Mimi holds a B.S. in Mathematics from UCLA and an M.S. in Statistics from The University of Texas at Dallas.
Beth Partridge, CEO/Founder/Chief Data Scientist of milk+honey, brings nearly three decades of executive-level experience in manufacturing, product engineering, quality control, technical support, and operations. With a BS in Electrical Engineering and a Master of Information and Data Science from UC Berkeley, she possesses a unique blend of natural leadership, technical expertise, and execution skills. Beth founded milk+honey with a mission to bridge the gap between data science and business, delivering strategic planning, education, and organizational development of successful data science programs for clients ranging from startups to global retail brands. Prior to founding milk+honey, she served as Chief Operating Officer at Vital Wave Consulting and held various leadership positions at Intel Corporation. Beth's career is marked by her ability to drive business success through data-driven decision-making and a culture of experimentation and innovation.
Inessa Pawson is a passionate advocate for open source, serving as an Open Source Program Manager at OpenTeams. She actively contributes to projects like NumPy and PyOpenSci, promoting participation and supporting the essential infrastructure of open source communities. With a focus on incentive design and collaborative intelligence, Inessa is a leading figure in this field, advocating for diversified contribution pathways and nurturing the human aspect of open source. Her role encompasses bridging people, open science, and open source software, while also engaging in community organizing and education. Prior to her current position, Inessa held various roles as a consultant, project manager, and software quality assurance engineer, showcasing her diverse experience in the digital space. She holds a Master's degree from Berdyansk State Pedagogical University, graduating summa cum laude.
Paula Payton, PhD, is the Head of Data Science & Survey Advisory at Deloitte Research & Insights (US). With three years at Deloitte, she is an expert in data science, analytics, behavioral science, and strategic insights, specializing in managing complex projects and innovative solutions in large-scale organizations. In addition to her role at Deloitte, Paula is an Associate Teaching Professor for the MSc in Business Analytics at Wake Forest University School of Business. Her previous positions include Head of Behavioral Science at SaleMaker and faculty roles in Applied Analytics at Columbia University. Paula holds a PhD in Management from NEOMA Business School and has completed data science studies at Johns Hopkins Bloomberg School of Public Health. She is an active guest speaker at the University of Chicago and serves as an industry judge for the UChicago Data Science Institute.
Flaviane Peccin is a seasoned Data Scientist with over 10 years of experience in predictive modeling and machine learning, currently serving as the Artificial Intelligence and Machine Learning Director at Visa. She has a strong background in developing and implementing data-driven strategies and solutions across various industries, particularly in the financial sector. Flaviane holds a Master's degree in Numerical Methods in Engineering and a Bachelor's degree in Statistics from Universidade Federal do Paraná. Her expertise spans from leading data science teams to collaborating on global and regional projects, driving business innovation and efficiency through advanced analytics.
Maisa Penha is a Principal Technical Program Manager at Microsoft, specializing in AI platforms and Azure OpenAI. With over 20 years of experience in software engineering and product management, she has a strong background in AI and machine learning, particularly in Large Language Models. Maisa has led multiple AI implementations and strategic partnerships, including her role at IBM's Watson Center of Excellence for Latin America. She is an advocate for diversity and inclusion, co-founding the Techie Women Community for Latin American women in tech. Maisa holds certifications from Stanford University's Graduate School of Business and has a proven track record of driving innovation and fostering high-performing teams.
Claudia Pereira Johnson is the Head of Analytics and Data Science for Marketplace at Nubank, where she leads a multifunctional team developing discoverability solutions for Nu Shopping, including Search, Recommendations, and Personalization. With over 10 years of experience in quantifying complex issues, Claudia has tackled questions ranging from pricing strategies for sporting events to the impact of racial discrimination in credit policies. Before joining Nubank, she held senior positions at Capital One, where she led teams in credit risk management and anomaly detection. Claudia also worked as a Senior Econometric Consultant at Bates White Economic Consulting, specializing in econometric modeling and applied microeconomics. She holds a Master's degree in Economics from the University of Wisconsin-Madison and a Bachelor's degree in Economics and Social Sciences from Università Bocconi. Passionate about mentoring, Claudia enjoys helping students, analysts, and business owners reach their full potential.
Marina Petzel is a Senior ML Engineer at Autodesk, where she enhances the AutoCAD user experience through ML solutions, focusing on computer vision and NLP tasks. With extensive data science experience in various industries like construction, healthcare, and finance, Marina is passionate about developing data-driven business solutions.She mentors young professionals in data science and engineering. Marina earned an MS in Data Science from the University of Rochester and a BS in Computer Science from Moscow State University.At Autodesk since 2021, she previously worked as a Data Scientist at UCLA Health, Waystar, and the Rochester Data Science Consortium. Marina is recognized for her contributions to ML models and cloud-based analytics solutions. She holds certifications in supervised learning and data analysis from Coursera.
Carey Phelps is the Founding Product Manager at Weights & Biases, a leading machine learning platform company based in San Francisco. With a background in Computer Science from Stanford University, Carey has played a pivotal role in the company's growth, helping it reach 120,000 users and achieve a $1 billion valuation in just three years. As Director of Product Management since May 2022, Carey has driven enterprise workflow tooling, including dataset and model management, and successfully scaled the model registry to over 100 teams. Prior to Weights & Biases, Carey co-founded Carta Healthcare, where they developed data analytics tools to improve surgical outcomes. Carey also has experience in product design and data science, having worked at The Concord Consortium and Qventus. Their diverse experience and passion for understanding user needs have made significant contributions to the fields of machine learning and healthcare analytics.
Mara Pometti is an AI-savvy humanist and Engagement Manager at McKinsey & Company, recognized as one of the Top 10 Women in AI in the UK and EU. She develops enterprise-wide AI strategies, focusing on uncovering business opportunities hidden in data. Previously, she was the Associate Director of AI Strategy and Governance at McKinsey. Before McKinsey, Mara led AI strategy at IBM, creating human-centered frameworks for identifying AI use cases. She has also been a Senior Data Strategist and Data Journalist at IBM, where she designed data-driven products and facilitated design thinking workshops. Mara authored the book "Artificial Humans —Umani Artificiali" and is a public speaker and advocate for humanizing AI. She is a member of the Advisory Board of Moonshot News and has lectured at the London School of Economics, Bologna Business School, and LUMSA School of Journalism. She holds an MA in Specialized Journalism from USC Annenberg School for Communication and Journalism and an MA in Literatures and Linguistics from Università degli Studi di Milano.
Natalie Porter is a Data & Solutions Strategist at Southern Glazer's Wine & Spirits, where she utilizes her expertise in data infrastructure, insights, and mathematical models to drive business growth and innovation in the beverage alcohol industry. In her role, Natalie has contributed to strategic initiatives like developing data governance frameworks, conducting market research, and building data visualization tools. She collaborates with cross-functional teams to provide data-driven solutions that optimize processes and enhance customer experiences. With a background in biology and economics from Florida International University, Natalie is also actively involved in diversity and education initiatives.
Lalitha Pragada is a Data Science and Analytics Leader with extensive experience across various industries. She most recently worked as a Data Architect at Med Metrix from April 2023 to December 2023. Before that, she served as the Director of Data Analytics at AffiniPay for four years, where she led data analytics and business intelligence initiatives in Austin, Texas. From June 2016 to December 2018, Lalitha was a Data Team Lead at Kforce Inc., managing BI and team leadership projects. She also held the role of Lead Data Analyst at Texas Health and Human Services from March 2013 to June 2016, focusing on data analytics and business intelligence. Earlier in her career, she worked as a Business Data Analyst at Ibeza, LLC, in the Miami/Fort Lauderdale area. Lalitha holds a Master of Science from Mississippi State University and a Nanodegree in Machine Learning from Udacity. She is certified as a Data Science Associate by Dell EMC and has been an active Kaggler on Kaggle since January 2015.
Megan Price is the Executive Director of the Human Rights Data Analysis Group (HRDAG), where she has been serving since December 2015. Before becoming Executive Director, she was HRDAG's Director of Research from February 2013 to December 2015, designing strategies for statistical analysis of human rights data in Guatemala, Colombia, and Syria. Previously, Megan worked as a Statistician at Benetech from 2009 to February 2013, where she conducted analyses of the Guatemalan National Police Archive and developed methodologies for estimating lethal violations in Colombia. She also served as a Statistical Consultant for the CDC, assessing statistical needs for field epidemiologists, and held various teaching and research roles at Emory University from 2003 to 2009. Megan holds a PhD in Biostatistics from Emory University, and an MS and BS in Statistics from Case Western Reserve University. She is a Research Fellow at Carnegie Mellon University's Center for Human Rights Science and serves as the Human Rights Editor for the Statistical Journal of the International Association for Official Statistics (IAOS).
Elizabeth Pritchard is the Chief Data and Analytics Officer at Liberty Mutual Investments, bringing over 20 years of experience in the financial industry. She has worked in large global investment banking and small startups. Known for her expertise in strategic planning, team building, and leveraging data and analytics, she leads AI, data, and analytics strategies to drive business outcomes. Elizabeth is committed to innovation, continuous learning, and staying ahead of industry trends. Previously, she served as Non-Executive Director at Eagle Alpha, founder of White Rock Data Solutions, and Head of Go-To-Market at Crux Informatics. At AIG, she was the Chief Operating Officer of the Science division. Elizabeth holds an MBA from Columbia Business School and an MS in Industrial Engineering and Operations Research from Columbia University. Passionate about advocating for girls in STEM, she has volunteered as a competition judge for STEM++Inno and sponsored Girls Who Code at Goldman Sachs. In her personal life, she is a wife, mother, swimmer, rancher, and gardener, raising goats.
Astha Puri is a Senior Data Scientist at CVS Health, where she focuses on designing recommendation engines for digital platforms to enhance customer experiences. With over 8 years of experience in data science, she has previously worked at Oracle and Twilio, contributing to projects ranging from customer churn prediction to real-time analysis of streaming data. Astha is passionate about bridging the gap between AI, health, and healing, and has expertise in alternative therapies. She has authored book chapters on counseling in assisted reproduction technology and is a founding board member of Women Who Do Data, where she mentors women in the field of data science. Astha holds an MS in Business Analytics from the University of Minnesota - Carlson School of Management and a Bachelor of Technology in ECE from Vellore Institute of Technology. She is also certified in Cypher Fundamentals and Graph Data Modeling Fundamentals by Neo4j. Additionally, Astha is actively involved in volunteering, serving as an ambassador for Women in Data Science (WiDS) Worldwide and participating in initiatives like Ford Motor Company's Global Caring Month.
Jayeeta Putatunda is a Senior Data Scientist at Fitch Ratings, where she leads initiatives in Generative AI and Natural Language Processing (NLP). With years of experience in statistical modeling, product analytics, and machine learning, she is passionate about exploring state-of-the-art models to build impactful products. Jayeeta has led NLP workshops with organizations like Women Who Code and GitNation and has spoken at prominent conferences including ICML, ODSC East, MLConf EU, and WomenTech Global Conference. She is also an ambassador for Women in Data Science at Stanford University and a mentor at Girl Up, United Nations Foundation, and WomenTech Network, aiming to inspire more women to pursue STEM careers. Jayeeta has been recognized as a 'Woman Breaking Bias' in 2022 and was a judge for The AI Journal Global Excellence Awards 2023. Jayeeta holds a Master's degree in Quantitative Methods and Modeling from Baruch College, City University of New York, and a PGDM in General Management and Marketing Analytics from SCMS Cochin School of Business. Her technical skills include Python, TensorFlow, Keras, PyTorch, Apache Spark, Docker, AWS Redshift, Elasticsearch, and various statistical and ML tools.
Kasia Rachuta is a Data Science and Analytics Leader at Square with over five years of experience in the San Francisco Bay Area. Currently a Data Science Tech Lead, she mentors data scientists, drives process improvements, and evaluates new tools like Anomalo and Databricks. Previously, as an Analytics Manager, she managed a team of analysts, improved data quality, and introduced team processes. Kasia has also worked as a Senior Product Data Scientist at Square, a Data Scientist at Medium, and a Product Analyst at FiveStars. She holds an MSci in Atomic and Particle Physics and Physical Chemistry from University College London (UCL). Additionally, she is a fellow at Coho Data Science and Delta Analytics and has participated in the NumFOCUS DISC Unconference.
Nicole Radziwill, PhD, is the Co-Founder & Chief Strategy Officer at Qzuku, specializing in holistic data/AI strategy, governance, and implementation. With extensive experience as a Chief Data Officer and Chief Data Scientist at companies like Wolfe.com and Ultranauts Inc, she excels in building data strategies and unlocking paths for transformation and growth. Nicole also serves as an Advisory Board Member for Great Expectations and is the Editor-in-Chief of Software Quality Professional at ASQ - World Headquarters. Holding a PhD in Technology Management & Quality Systems from Indiana State University, Nicole is certified as a Six Sigma Black Belt and a Manager of Quality/Organizational Excellence by ASQ.
Ramya Raghunathan is a distinguished data science leader with over 25 years of experience specializing in risk, fraud, and marketing analytics. He excels in credit originations, fraud detection, and retail analytics. Currently, as Vice President of Data Sciences at Target, Ramya oversees global supply chain, fulfillment, demand forecasting, and stores. His leadership roles also include positions at OneMarket, Westfield Retail Solutions, Visa, and Nomis Solutions. Ramya holds an MS in Operations Research and Management Science from Case Western Reserve University and is actively involved in volunteering, notably as a Founder Circle member and Mentorship Co-chair at Neythri.org.
Sumayah Rahman is the Director of Data Science (ML Engineering & DS Infrastructure) at Cedar, leading the development of data infrastructure and machine learning tools to enhance healthcare financial engagement since 2022. She serves as an advisor at Legacy (2024 - Present) and was a coach at xNovo Career Coaching (2021 - 2024). At Point72 Ventures, she worked as a Staff Data Scientist, contributing to Hyperscale and AI Ventures (2020 - 2022). At Apple (2019 - 2020), she played a key role in developing health metrics for the Apple Watch and iPhone, including co-inventing patents for mobility metrics. She holds a PhD from UC Berkeley, where her thesis focused on novel applications of machine learning and statistics for genome-resolved metagenomics, and completed an Engineering Leadership program at UC Berkeley College of Engineering.
Sumedha is a Senior Data Scientist and AI researcher based in New York. She has extensive experience in both industry and academia in the field of AI/ML. Currently, she works with a micro-investments firm, where she leads AI for fraud detection and spearheads Natural Language Processing projects. Additionally, she’s involved in interdisciplinary research with the Center for Data Science at NYU and the Langone Medical School. As an AI practitioner, she has collaborated with distinguished academics, product companies, hedge funds, central banks, and even neurosurgeons. In her previous roles, she has worked in diverse areas including misinformation in healthcare, bibliometrics, default predictions, dynamic forecasting techniques, and data science in policy. Sumedha has authored articles on AI in major media outlets and frequently participates as a panelist in tech discussions at NYU. She has also been a speaker at multiple ML conferences, national radio shows, and podcasts. Consistently staying informed about the latest tech developments, she is always eager for the opportunity to dissect and glean insights from them.
Deborah Raji is a Fellow at Mozilla since September 2020, focusing on AI evaluation and policy. She founded Project Include in 2015, a non-profit enhancing access to engineering education for low-income and immigrant communities in Toronto, which expanded to international outreach. Previously, she was a Tech Fellow at the AI Now Institute (2019-2020) and a Research Fellow at the Partnership on AI (2019-2020), working on AI transparency and fairness standards. At Google AI (2018-2019), she researched ethical AI concerns under mentors Meg Mitchell and Timnit Gebru. Deborah holds a PhD in Computer Science from UC Berkeley and a degree in Engineering Science from the University of Toronto.
Dhivya Rajprasad leads Data Leadership at Zoom, driving data-driven insights and mentoring teams. With over a decade of experience, she's collaborated extensively with executive leadership on product strategy. At Zoom, Dhivya manages the product data science vertical, delivering impactful data products. Previously, she led AI and digital transformation at CPP Investments and built data products for retail at Levi Strauss & Co. Dhivya holds double master's degrees in Business and Data Science. Passionate about women in tech and leadership.
Hemalatha (Hema) Raju, Ph.D., is a clinical data scientist with over 7 years of experience in the CRO industry, including 4 years in big data analysis and machine learning. She is proficient in R, Perl, Python, and SAS. Currently a Senior Data Scientist at AbbVie, Hema focuses on clinical trials and biological data analysis. Previously, she was a Lead Data Scientist at Syneos Health, developing tools for feasibility analysis, and at Biorasi, where she implemented on-site data analytics and risk-based monitoring. Hema holds a Ph.D. in Human Genetics and Genomics from the University of Miami and a Master's in Biophysics from the University of Madras. She volunteers as a student mentor and an education volunteer.
Mathangi Sri Ramachandran, Chief Data Officer at Yubi, has a distinguished 19-year career in data sciences, with 100+ global patents. She's skilled in machine learning, text mining, NLP, and other technologies. As an active contributor to the data science community, Mathangi has authored two influential books and received numerous awards. At Yubi, she leads the data organization, focusing on AI-led impacts through innovative data products and solutions. Prior to Yubi, Mathangi held key positions at Gojek, PhonePe, and Citibank India, driving data science initiatives with significant business impacts. She holds an MBA in Finance & Marketing and a Bachelor's in Electrical & Electronics Engineering. Mathangi is also certified in Building and Leading Effective Teams from Columbia Business School and is a recognized thought leader in AI by 3AI.
Veronica Ramos is a Sr. Principal Scientist at Medtronic with over eight years of experience. She previously worked as a Clinical Engineer at HeartWare Inc. and in procurement and control engineering roles. Veronica holds an MS in Data Analytics from Georgia Tech and a BE in Electrical and Electronics Engineering from Florida International University. She also has certifications in Data Analytics and Project Management.
Sol Rashidi, a distinguished global speaker and advisor, is acclaimed as an "AI Visionary of the 21st Century" and among the "Top 100 AI Thought Leaders." With a history of leadership roles at Fortune 100 companies like Estee Lauder, Merck Pharmaceuticals, Sony Music, and Royal Caribbean, Sol has earned recognition for her innovative approach, including eight granted patents. Featured in prestigious media outlets such as Forbes and CNBC, Sol combines technical expertise with storytelling to simplify complex ideas and drive strategic visions. She prioritizes practical solutions, advocates for AI when appropriate, and emphasizes impactful outcomes. Currently, as a data, AI, and business consultant, Sol advises startups, private equity firms, and Fortune 500 companies, helping them establish clear strategies and navigate AI integration. She also serves as an advisor to Armada, a leading edge computing platform. Sol's educational background includes a BS in Chemistry from the University of California, Berkeley, and an Executive Program in Disruptive Strategies from Harvard University. Known for her dynamic energy and passion, Sol excels in driving innovation while aligning with business objectives.
Surbhi Rathore is the CEO and Co-founder of Symbl.ai, based in San Francisco, California. Symbl.ai is a real-time AI platform designed to enhance communication experiences in products and solutions by providing cutting-edge conversation understanding models for developers. Surbhi, with a background in software development, has over a decade of experience working on customer experience solutions for major telecom companies and enterprises globally. She is passionate about empowering creators to craft unique experiences that augment human intelligence. Under her leadership, Symbl.ai has become a pioneer in providing secure, scalable, and explainable AI solutions for human conversations. Surbhi is also a member of the Forbes Technology Council, YEC, and Chief, where she advocates for technology innovation and cross-functional communication. She is an ambassador for Women in AI, working towards closing the gender gap in the field. Surbhi holds a Bachelor of Engineering in Electronics from the University of Pune, where she was the university topper in her third year. Her commitment to technology evangelism and her advocacy for collaborative innovation without borders define her ethos.
Ashwini Reddy Mandadi is a Data Engineering Manager specializing in Advanced Analytics. Currently employed at Meta, Ashwini has been with the company since May 2017, where she plays a crucial role in data engineering initiatives. Prior to Meta, she gained extensive experience at Williams-Sonoma, Inc., where she served as the Data Engineering Manager for Customer Insights & Advanced Analytics for over two years. With a career spanning several prestigious tech companies, Ashwini has held positions such as Lead Data Science Engineer at an undisclosed company in San Francisco, Senior Data Engineer at Wells Fargo, Senior Software Engineer at eBay Inc, and Data Engineer at Amazon. Ashwini holds a Master's Degree in Computer Science from the New Jersey Institute of Technology and a Bachelor's Degree in Computer Science from Jawaharlal Nehru Technological University. Her educational background, coupled with her diverse professional experience, equips her with a solid foundation in data engineering and analytics.
Alexandria Redmon is the Senior Director of Product & Technology at Hearst, where she has been employed since January 2024. With over four years of experience at Hearst, Alexandria oversees product development and technological advancements. Previously, she held the position of Director of Product & Technology and Director of Software Engineering at the same company. Before joining Hearst, Alexandria held roles as a Senior Software Engineer at Cylera and Metric Collective, where she contributed to the development of AI-driven software solutions. Additionally, she worked as a Senior Web Developer at Empower Network, LLC, and as an IT Director at Beauty & Hair, where she managed web development projects and ensured alignment with business objectives. Alexandria holds a Bachelor's degree from Collin College. With her extensive background in technology and management, Alexandria brings valuable expertise to her role at Hearst, driving innovation and product excellence.
Hui Ren is a physician-scientist specializing in Health AI and Digital Health. With over six years of experience at Massachusetts General Hospital, Hui serves as an Instructor, investigating AI applications in healthcare settings. Additionally, Hui is a Postdoctoral Research Fellow, focusing on digital health and AI in healthcare. Prior to this, Hui worked as the Director of the Physician and Technologist Training Department at Aurora Healthcare US Corp, where they developed training programs and managed projects. Hui's medical background includes serving as a Cardiologist at Peking University People's Hospital. Educationally, Hui holds a Master of Public Health (MPH) in Clinical Effectiveness from Harvard University and a Doctor of Philosophy (PhD) in Clinical Medicine (Cardiology) from Peking University Health Science Center.
Salema Rice is the Founder and CEO of CDO Today, a think tank for senior data and AI leaders. She has over 25 years of experience in leadership roles, including Chief Data & AI Officer and Board Member at Accenture. Salema is recognized for her expertise in AI and data, contributing to media outlets such as CNBC, Forbes, and CDO Magazine. She is also the co-founder of Compassion's Way, Inc., focusing on disaster relief.
Emily Riederer is the Senior Manager of Analytics & Data Science at Capital One. With over 8 years of experience, she leads efforts to enhance collaboration between business and data science partners, develops modeling and measurement solutions, and provides external audits of models. Emily has expertise in predictive modeling, model risk management, and analytics infrastructure solutions. She holds a Bachelor of Science in Mathematics & Mathematical Decision Science from the University of North Carolina at Chapel Hill, where she graduated summa cum laude.
Sandra Rivera serves as the CEO of Altera, an Intel Company, leading the Programmable Solutions Group (PSG). With over three decades of semiconductor experience, she oversees the development and deployment of field programmable gate arrays (FPGAs) across various markets. Prior to this role, Sandra held executive positions at Intel Corporation, including Executive Vice President and General Manager of the Data Center and AI Group. She also serves as a board member for Equinix and previously held roles such as Senior Vice President and General Manager of the Network Platforms Group at Intel. Sandra holds a Bachelor of Science in Electrical Engineering from Penn State University.
Kate Rodrigues is the Senior Manager of Data Science at Red Hat, where she has worked for over eight years. She leads data science initiatives, having previously served as Manager of Data Science and Analytics Product Manager. Before joining Red Hat, Kate was an adjunct mathematics instructor at Wake Technical Community College, a math teacher at Cary High School, and a teaching assistant at Missouri State University. She holds a Master of Science in Analytics from North Carolina State University and a Master of Science in Mathematics from Missouri State University. Kate is also a SAS Certified Advanced Programmer and Predictive Modeler. Her career showcases her expertise in mathematics, analytics, and data-driven innovation.
Nadine Davey-Rogers is an accomplished data product executive with extensive experience in building digital analytical products and AI systems. Currently serving as the Executive Vice President of Marketing, Franchise, and Finance Technology at Mastercard, she has a proven track record of leadership in global markets, including Europe, Asia, and Latin America. Nadine is fluent in Spanish and Portuguese and is skilled in strategic vision development, product management, and cloud strategy. Her career highlights include leading high-performing teams, driving business growth, and contributing to innovative product development. Nadine is also actively involved in mentoring and board leadership.
Farjana Rohman is the Director and U.S. Liquidity Product Head at Citi, a role she has held since January 2024. Before this, she served as the North America Cash Concentration & Deposits Product Head from March 2022 to January 2024, and as Instant Payments Product Manager from May 2017 to March 2022. Prior to these roles, she worked at J.P. Morgan as an Analyst in Credit Risk Reporting from November 2011 to February 2013 and at Citi as an Analyst in Performance Measurement & Analysis from March 2010 to November 2011. Farjana began her career as an Operations Summer Analyst at Goldman Sachs in 2008. She holds a BS and BA in Business Management, Finance, and Sociology from Brooklyn College. Additionally, she has been a peer mentor with iMentor since September 2015.
Dr. Meri Rosich is the CEO for Asia Pacific and the Middle East at Oceonomy, where she focuses on leveraging data strategy for sustainability. With extensive experience in various leadership roles, including Chief Data Officer at Standard Chartered Bank, she led the transformation of the data and analytics organization to create sustainable business value. Meri holds an MBA from London Business School and a PhD in Technology Innovation from Universitat de Barcelona. She is also a Senior Accredited Director at the Singapore Institute of Directors and holds certifications in Business and Climate Change from the Cambridge Institute for Sustainability Leadership. Additionally, she is actively involved in mentoring at the Lee Kuan Yew School of Public Policy and serves as a board member of the International Alumni Council at London Business School.
Ali Rossi is a seasoned data science professional currently serving as a Senior Data Scientist and Tech Lead at Foursquare. With over 5 years of experience at Foursquare, Ali has been instrumental in developing consumer analytics for retail, dining, and financial clients. Her role involves defining insights, establishing data requirements, and overseeing research efforts to ensure accurate results. Ali has also led initiatives such as predictive modeling for weather impact on foot traffic and holiday shopping targeting segments, which have driven significant revenue growth. She holds a Master of Science in Computer Science from Georgia Tech, with a specialization in Machine Learning. Prior to her current role, Ali has held positions at Amazon and Nielsen, where she demonstrated her expertise in product management and analytics. She is recognized for her leadership in the field and regularly speaks at conferences on data science topics.
Jaime Russ has over 20 years of experience in data science, specializing in data cleaning, processing, experimental design, and machine learning. She excels in team leadership and project management, with technical expertise in SQL, R, Python, Pandas, NumPy, Scikit-Learn, Seaborn, Matplotlib, and PostgreSQL. Her personal interests include art, music, puzzles, anime, and logic games. Currently, Jaime is the Managing Director at Lynnsight Solutions, focusing on analytics and project management for SMBs. She also volunteers as a Custom Project Team Lead at ATLytiCS Inc., guiding data projects that support vulnerable communities. Previously, she was a Lead Instructor at BrainStation and a Principal Data Scientist at Ryder System, Inc., developing highly accurate forecasting models. Jaime holds a Data Science Immersion Bootcamp certificate from Thinkful and a BA in Business Administration from Florida Atlantic University. She is certified in Power BI by Coursera.
Noelle Russell is the Chief AI Officer at AI Leadership Institute, where she has been helping organizations use AI responsibly for nine years. She also serves as Chief AI Officer at Fifty One Ai, working to integrate AI into justice workflows. Noelle is a Senior Research Fellow at AI 2030, focusing on responsible AI adoption. She previously held roles at Accenture as Managing Director of Global AI Solutions and at IBM as Global Partner in AI and Analytics. She also worked as a Red Hat Managed OpenShift Specialist in AI/ML. She holds a degree in Computer Science and Business Administration from Embry-Riddle Aeronautical University and is a Microsoft MVP in AI and a Stanford Foundation Model Scholar.
Allison Sagraves is a faculty member at Carnegie Mellon University's Heinz College, specializing in data and AI. She also runs her own consulting firm, Allison Sagraves LLC, and advises several organizations, including DataOps.live and Ultranauts Inc. Allison serves on the board of The Robert G. Wilmers Integrity Prize and has held various advisory roles. She has an MBA from Harvard Business School and a BA in Economics and Government from Smith College. In addition to her professional work, she is involved in volunteer activities, including roles with ARTPARK & COMPANY INC and The Buffalo Gardens.
Yasmin Sahaf is a Principal Machine Learning Engineer and Tech Lead at Dell Technologies, specializing in Agile development, C#, Java, Python, SQL, AWS, REST APIs, SaaS, microservices, and machine learning. Since November 2023 at Dell Technologies, she leads machine learning projects. Previously, at Illumina (May 2021 to November 2023), she developed predictive maintenance solutions for DNA sequencing instruments. At HP (July 2015 to December 2018), she designed microservices and developed machine learning models for smart device services. She also worked on test frameworks for printer firmware and tools for generating metrics. Yasmin holds a Master’s in Computer Science from Washington State University, focusing on AI and machine learning, and a Bachelor's in Computer Software Engineering from Azad University. She has volunteered as SHADES ERG Marketing/Ops Co-Chair at Illumina since April 2021 and was Membership Development Officer for IEEE's Boise Section (2016-2018).
Dr. Lovedeep Saini is the Chief Analytics Officer at Conner Strong & Buckelew, with over a decade of experience in data science. His background includes doctoral research in experimental physics at the Large Hadron Collider and professional development in AI at Harvard. Previously, he served as a Data Science Manager at Gallagher and held roles at Navistar, Fermilab, and Kansas State University. Dr. Lovedeep Saini holds a Ph.D. in Experimental Physics from Panjab University and certifications in Azure Fundamentals and Azure AI Engineering. He volunteers for Women in Data Science (WiDS) Worldwide and the Open Data Science Conference (ODSC).
Noelle Saldana, a Data Scientist Consultant at DataKind, has over 15 years of experience in championing data-driven strategies across various industries. She holds leadership roles at Salesforce and Pivotal, where she led high-performing data science teams. Noelle's approach to data science is collaborative and cross-functional, emphasizing partnerships with design, product, and engineering teams to enable data-driven products and culture. With an A.B. in Applied Mathematics and Physical Anthropology from Washington University in St. Louis and an M.S. in Applied Mathematics from Cal Poly Pomona, she brings a strong analytical background to her work.
Lynn Sautter Beal, currently serving as VP at Upstart, has a rich background in fintech and product delivery, with experience at JPMorgan Chase and Nationwide Financial. At Upstart, she leads teams providing support to lending partners and hosts the "Leaders in Lending" podcast. Lynn's expertise spans product implementation, customer success, and professional services, driving growth and transformation. She holds a Master of Science degree in Data Science with a specialization in Analytics & Modeling from Northwestern University and is proficient in various tools and languages, including Python, R, and SQL.
Ariane Schiereck is a visionary CIO, CDO, and transformation leader with a strong focus on leveraging technology to drive positive change. With a background in leading global IT for Fortune 500 companies across regulated industries, she excels in reimagining the future of industry and applying digital, data, and technology to create seamless digital experiences and interconnected ecosystems of value. Ariane is known for her strategic mindset and ability to transform IT into a growth engine, leveraging data and technology as competitive advantages. She has a proven track record of achieving record revenue and profit growth, building exceptional IT organizations, and leading successful digital transformation initiatives. Currently serving as the Chief Information Officer at Hollister Incorporated, Ariane is responsible for leading the global IT organization and defining the digital, data, and technology strategy to drive profitable growth and exceptional experiences for customers, clinicians, and users worldwide. She is also actively involved in various technology peer communities and advisory boards, contributing to the advancement of women's leadership in technology. Ariane holds a Master's Degree in Business Administration from Lehigh University and a Bachelor's Degree in Information Systems and Accounting from NYU Stern School of Business.
Anna Schneider is the Director of Software Engineering at Form Energy, driving the development of utility-scale multi-day battery storage solutions. With experience at Stitch Fix and as a co-founder of WattTime, she brings expertise in software engineering and clean energy. Anna holds a PhD in Biophysics from UC Berkeley and a Bachelor's in Math and Biochemistry from the University of Washington. She's also engaged in volunteer work, including data analysis for Tech for Campaigns and co-organizing the Unconscious Bias Project.
Friederike Schüür is the Chief of Data Strategy and Data Governance at UNICEF, where she leads initiatives focused on utilizing data for children. With a background in philosophy and cognitive neuroscience, including a PhD from UCL, she brings a unique perspective to her work in data governance and ethics. Friederike is also a Fellow in AI Ethics and Digital Governance at the Jain Family Institute and has extensive experience in data science and health care, having previously served as the Director of Data Science at Cityblock Health. Additionally, she has volunteered with DataKind, contributing her expertise to projects aimed at supporting NGOs through data analysis.
Chanuki Illushka Seresinhe, PhD, serves as the Chief Data and Technology Officer at Boon and co-founded beautifulplaces.ai. With expertise in data science and cognitive neuroscience, she integrates AI and psychology to address societal challenges at Boon and generates data on outdoor aesthetics with Beautifulplaces.ai. Previously, she held key roles at Zoopla and Culture Trip, leveraging machine learning to enhance user experiences. Her research, highlighted in esteemed publications, explores the link between environmental aesthetics and well-being. Chanuki is also a sought-after speaker and a member of Azeem Azhar’s Exponential Do.
Cheryl Sew Hoy is the CEO and Founder of Tiny Health, pioneering at-home baby gut health testing to detect imbalances in early development, aiming to prevent chronic health conditions. With a patent-pending microbiome health test, Tiny Health empowers families with precise recommendations using AI and metagenomic sequencing. Cheryl's prior roles include advising and founding initiatives in blockchain, tech startups, and entrepreneurship. She holds degrees in Engineering Management and Operations Research and Industrial Engineering from Cornell University. Cheryl is also active in mentoring and volunteer work, contributing to programs fostering entrepreneurship and economic empowerment.
Sameena Shah is a highly accomplished technology leader with over 20 years of experience in engineering and AI. She has pioneered groundbreaking AI technologies for industries such as finance, news, commodities, and law, including Reuters Tracer and Eikon Search. Recognized globally for her contributions, Sameena has received awards from institutions like the Anita Borg Institute and Google. In her roles at JPMorgan Chase, S&P Global Ratings, and Thomson Reuters, she led transformative AI initiatives, driving innovation and delivering significant value to the business. Sameena holds a PhD in Distributed Machine Learning from the Indian Institute of Technology, Delhi, and is known for her talent in fostering high-performing and collaborative cultures within her teams.
Laya has a Ph.D. in Electrical Engineering and has conducted various research topics in the area of robotics. She joined Lowe’s as a Data Scientist in 2019 and has been working on several projects and since has been developing mainly computer-vision-related solutions to business problems.
Smiti is a passionate technologist & leader with 20 years of experience in global systems engineering and IT consulting/strategy. Smiti leads a team of engineers at Datastax who work to architect complex solutions for large enterprises. Smiti held various leadership roles in systems engineering and product management at AWS, McKinsey & Co., Virtustream, Pivotal (Dell EMC company), and Oracle. She also serves on technical advisory boards of startups and nonprofits. In her spare time, she likes to spend time with her family, travel and read. Having visited nearly 50 countries, she can’t wait for the return of normal travel.
Meenakshi Sharma, currently a Product Manager at Angara Inc., brings over 8 years of experience. Previously with Just Dial Ltd and the Confederation of Indian Industry (CII), she led digital transformation initiatives, developed new membership services, and established learning platforms. Meenakshi holds an MBA from the Indian Institute of Technology, Delhi, and certifications in Google Analytics and ScrumMaster® (CSM®). Outside work, she volunteers with CRY and has engaged in event management with Audi UK.
Rebecca Sharpe is the Chief Technology Officer and Chief Marketing Officer at Miami Waterkeeper. With a background in data, analytics, technology, and marketing leadership, she has led client programs at major agency groups like WPP, IPG, and Publicis Groupe. Notable achievements include establishing DevOps and data science teams at Amazon, managing the agency research program for Verizon, leading the strategy for user experience analytics at Publicis Groupe's AI app Marcel, and spearheading a digital transformation program at DBS Bank. Rebecca holds an MBA and a Master of Research, focusing on mixed-methods and consumer behavior.
Kimberly Shenk is the Co-founder and CEO of Novi, a B2B marketplace facilitating diligence, discovery, and purchasing of raw materials for consumer goods. She has also served on the advisory board of ChemFORWARD and as a board member of NakedPoppy. Previously, Kimberly co-founded NakedPoppy, focusing on safe and clean makeup and skincare products. She has also been an advisory board member at The Data Institute, University of San Francisco, and held roles at Domino Data Lab. Kimberly holds a Master of Science in Operations Research from MIT and a Bachelor of Science from the United States Air Force Academy.
Amy Shi-Nash, PhD, is the Chief Analytics and Data Officer at TabCorp, where she leads the data analytics strategy, driving business transformation and customer focus. With over 20 years of experience across financial services, telecoms, retail, consulting, and technology, Amy is recognized as a global leader in data-driven innovation. Her past roles include Chief Data Scientist at NAB, Global Head of Analytics and Data Science at HSBC, General Manager of Group Data Science at CBA, and Chief Data Scientist at DataSpark. She holds a Ph.D. in Data Mining, an MSc in AI, a BSc in Computer Science, and an MBA. Amy is also a Graduate member of the Australian Institute of Company Directors (GAICD). She has been honored with an Honorary Doctorate, multiple patents, and publications, and was named one of the global top 100 innovators in data and analytics in 2021 and 2022.
Rachel Shuyan Wang is the Head of Data Science and Engineering at Wish, where she has led a centralized team of over 50 data scientists and engineers, reporting directly to the CEO. She has been instrumental in transforming Wish's strategy and product experience and has closely collaborated with the board to ensure alignment on strategic vision, financial performance, and operational excellence. Prior roles include Director of Data Science at Wish, Manager of Data Science at TrueCar, and positions in equity research at CICC, management consulting at Accenture, and market research at BDA. Rachel holds a Master of Arts in Quantitative Methods in the Social Sciences from Columbia University and a Bachelor of Engineering in Mechanical Engineering from Peking University.
Perla Sierra is the Vice President of Enterprise Data Governance at Assurant, where she leads AI governance and data management policies to drive growth, innovation, and ethical standards. She developed a Responsible AI framework, AI Ethics Playbook, and AI training programs. Previously, she was the Assistant VP of Data Analytics and Business Intelligence at Assurant. Perla has also been an adjunct professor and held roles in financial and supply chain management. She holds an MBA in Global Management from the University of Phoenix and a BS in Professional Administration from Nova Southeastern University. She is certified as a PMP, Six Sigma Black Belt (LSSBB), and in ITIL.
Noelle Silver is a recognized AI leader, speaker, and Microsoft Responsible AI MVP with extensive experience across top tech companies including AWS, Amazon Alexa, Microsoft, NPR, and Accenture. As the Chief AI Officer at Fifty One Ai and founder of the AI Leadership Institute, she is committed to scaling responsible AI practices and empowering organizations with AI and emerging technologies. Noelle has received numerous awards for her contributions to AI ethics and mentorship, and is passionate about using AI to drive social impact and ethical innovation. She also serves as an AI Executive Coach, helping businesses and leaders navigate the complexities of AI adoption.
Ana Simoes is the AI/ML GenAI Principal Specialist at AWS, where she manages strategic AI and machine learning deployments and partnerships, including a key collaboration with Hugging Face. With a technical background in AI and Natural Language Processing, Ana has a strong track record in building and managing AI business lines, including at Intel Labs, where she helped establish the GenAI division. She holds an MBA from the Haas School of Business at UC Berkeley and has a diverse background in computational linguistics, cognitive science, and media production. Ana is fluent in multiple languages and is passionate about using technology to address global challenges.
Alyssa Simpson Rochwerger specializes in AI and ML, focusing on healthcare transformation. Currently, she is Senior Director of Digital Member Experience at Blue Shield of California. She also advises startups on product management as a Go-To-Market Council Member at Canvas Ventures. Alyssa authored "Real World AI: A Practical Guide for Responsible Machine Learning" and teaches at Udacity. Previously, she was VP of Product at Figure Eight (acquired by Appen) and held leadership roles at IBM Watson. She holds a BA in American Studies and Visual Design from Trinity College-Hartford and completed a bootcamp at General Assembly.
Swatee Singh is a leading authority in big data, AI/ML, cloud, blockchain, and enterprise data ecosystems. Currently, she is the Chief Data and AI Officer at TIAA, where she enhances data and AI strategies, focusing on next-gen data management, AI/ML platforms, and data science. Previously, she was the CIO for Enterprise Data Platforms at Barclays, overseeing the development of advanced technology and data capabilities. At American Express, Swatee was the first female Distinguished Architect, leading the creation of a multi-petabyte big data and AI ecosystem and the "Amex Offers" platform. She also held roles at PwC and McKinsey. Swatee holds a PhD in Machine Learning from Duke University and has over 15 US patents. She has contributed to numerous industry publications and serves on the advisory board at the New Jersey Institute of Technology.
Beate Sissenich leads data science efforts at Nielsen, specializing in identity and data integration. With extensive experience, she oversees third-party data evaluation and machine learning models, delivers custom data integration projects, and develops methodologies for audience measurement. Previously, as Director of Execution for Media Data Science, she led teams in building cloud-based tools and methodologies for audience measurement. Beate holds a PhD in Political Science from Cornell University and has held academic positions at institutions like Indiana University Bloomington.
Ariana Smetana is the Founder and CEO of AccelIQ Digital, an AI development studio and innovation agency. With over 20 years of experience in entrepreneurship and corporate leadership, Ariana specializes in digital transformation and AI product strategy. She is a seasoned advisor passionate about driving business growth through emerging technologies. Ariana's expertise spans leadership, strategic direction, analytical problem-solving, and technology development. Ariana's certifications in AI business strategy, product strategy, and marketing in a digital world equip her with the skills to drive organizational growth and innovation. She is recognized for her expertise in integrating business operations with technological innovations and fostering entrepreneurship in various sectors.
Genevieve Smith is a leader dedicated to equitable technology and social impact. As the Founding Co-Director of the Responsible & Equitable AI Initiative at Berkeley AI Research, she leads efforts to embed ethics in AI development. At UC Berkeley, she teaches Responsible AI Innovation & Management. Previously, as Associate Director at the Center for Equity, Gender & Leadership, she promoted diversity in business. Genevieve's expertise extends to global initiatives like the AI Governance Alliance at the World Economic Forum and as a Gender & AI Fellow at USAID. With a PhD in AI, gender, and development from Oxford, she's a force for ethical tech and social change.
Tatsiana Sokalava, MBA, SDS is a CEO, founder, and visionary in the field of AI and education innovation. With a focus on AI development and innovation, she co-founded Career Scoops™, leading the company to new heights since January 2023. Tatsiana is also the Chief Data Consultant and Founder of Datalligence Solutions, where she applies her expertise in AI and project management. Her journey includes roles as a Data Scientist at Glue and Shelf Engine, contributing to advancements in AI, data science, and statistics. Previously, she served as the Chief Operating Officer at Orange County Property Appraiser, Florida, where she honed her skills in data analysis and statistics. Tatsiana's educational background includes a Professional Certificate in Data Science from Harvard University and Sloan Executive Education in Artificial Intelligence and Operations Strategy from the Massachusetts Institute of Technology.
Springer, PhD, is a leading figure in AI ethics and digital inclusion in international development. Recognized among the Top 100 Women in AI Ethics™ in 2024, she champions the participation of non-technical professionals in AI discussions. As CEO of TechnoSocio Advisory, Emily provides consulting services, emphasizing gender and social inclusion in AI development. With extensive experience consulting for organizations like the Global Center for Gender Equality and the United Nations Population Fund, she works to address issues like technology-facilitated gender-based violence and inclusive digital development. Emily holds a PhD in Sociology and Development Studies and an Ed.M. in International Education Policy. She's dedicated to promoting ethical AI practices and enhancing digital inclusivity worldwide.
Sadie St. Lawrence, a seasoned professional in data science and AI, founded Women in Data in 2015, now a global community with 60,000+ members, aiming to boost diversity in data careers. She's also the visionary behind the Human Machine Collaboration Institute, fostering symbiotic human-machine relationships. As an AI instructor, she's taught over 600,000 individuals, holds a Master's in Analytics from Villanova University, and authored "Minds & Machines: Harnessing AI in the New Era Of Knowledge Work." Recognized as one of the Top 30 Women in AI, Sadie invites collaboration and connection through her platforms.
Erin Stanton is an accomplished AI and data leader with over 15 years of experience in big data, data science, and computer science. She currently serves as the Global Head of Portfolio and Trading Analytic Client Support at Virtu Financial, where she leads a team of 25+ professionals across four regions. Erin is known for her dynamic energy, innovative problem-solving, and ability to explain complex models in simple terms. She holds a Master's in Information and Data Science from UC Berkeley and is passionate about expanding data literacy and women's roles in technology. Erin is also an active volunteer, serving as the Women in Data Science Ambassador at Stanford University.
Jess Stauth is an experienced asset management executive with a background in quantitative finance, systematic asset management, and fintech. With over 15 years of experience, she has held leadership positions in both startups and established firms, including Quantopian, Geode Capital Management, and Fidelity Investments. Currently serving as the Chief Investment Officer of Systematic Equity Strategies at Fidelity, Jess is known for her expertise in quantitative finance, risk management, portfolio construction, and equity research. She holds a PhD in Biophysics from the University of California, Berkeley, and is recognized for her contributions to the field of systematic investing.
Tarja Stephens is a Finnish-American entrepreneur and executive specializing in AI transformation and workforce development. With over two decades of international experience, she has launched initiatives that empower individuals and organizations to thrive in an AI-driven economy. Tarja co-founded Mission Impact Academy, dedicated to providing AI training for non-technical women globally, and is also a founding partner of the "Women of the Future" book series, highlighting influential women in emerging technologies. A passionate advocate for responsible AI integration and career mobility, Tarja collaborates with public and private sectors to enhance AI readiness, reduce bias, and promote skills-first hiring practices. As a public speaker, she champions diverse voices in AI and strives to shape the future of work through innovation and education.
Kate Strachnyi is the founder of DATAcated, where she helps companies enhance their brand and expertise in artificial intelligence, machine learning, and data science. With over 200k followers across various platforms, Kate is recognized as a LinkedIn Top Voice in Data Science and Analytics and a DataIQ USA100. She is the author of "ColorWise: A Data Storyteller's Guide to the Intentional Use of Color" and teaches courses on developing a personal brand in tech with LinkedIn. Kate also hosts the DATAcated On Air podcast and is an advisory board member for IADSS.
Haoyang (Helen) Sun is a Performance and Capacity Engineer at Meta. Prior to this role, she worked as a Risk Engineering Analyst at Goldman Sachs. She holds a Bachelor's degree in Computer Engineering from Purdue University, where she also served as an Undergraduate Research Assistant and Teaching Assistant. During her time at Purdue, she participated in various projects, including Senior Design and the Magnifier Project for the Indiana School of Blind and Visually Impaired. Haoyang also volunteered as an Intercultural Communication Partner, supporting globalization and diversity efforts at Purdue University.
Saishruthi Swaminathan, a Tech Ethics Advocate and Educator, transitioned from electrical engineering to data science and AI ethics. With contributions to open-source projects and over 75 speaking engagements, she's a prominent voice in ethical AI. Her roles at IBM and the World Economic Forum reflect her dedication to promoting trustworthy AI. Saishruthi holds a Master's in Electrical Engineering and a Bachelor's in Electrical and Electronics Engineering, with extensive involvement in research, teaching, and volunteering.
Sonali Syngal is a Lead ML Scientist at Expedia Group, based in London, UK. With over three years of experience at Expedia Group, she has been instrumental in various personalization efforts and recommendations. Prior to Expedia, Sonali worked as a Senior Scientist at Mastercard's AI Garage, focusing on AI strategies and innovation. She has also contributed as a Research Intern in reinforcement learning at Vodafone. Sonali holds a Master's degree in Data Science and Machine Learning from Imperial College London, where she excelled in advanced machine learning and big data technologies. She also holds a Bachelor's degree in Economics from Shri Ram College of Commerce, where she was in the top 2 percentile of undergraduate students. Beyond her professional endeavors, Sonali is actively engaged in volunteer work, including education initiatives with organizations like Literacy India.
Chiara Talerico is an experienced Crime and Intelligence Analyst, specializing in Intelligence and Crime Analysis, Criminal Network Analysis, OSINT, and Social Media Investigations. She serves as the Head of Criminal Analysis at Earth League International (ELI) and has previously interned at Eurojust and worked at ECPAT Indonesia. Chiara holds a Master's degree in Law from the University of Pisa and an MSc in Countering Organised Crime and Terrorism from University College London (UCL).
Sonali Tamhankar is a Senior Clinical Data Scientist at Fred Hutchinson Cancer Center, specializing in Quantitative Research, Statistical Data Analysis, and more. She has a Ph.D. in Physics and a Master's degree in Mathematics with a specialization in Optimization, along with a Certificate in Data Science from the University of Washington. With over a decade of experience, Sonali has transitioned her career from theoretical physics to healthcare data science. She is passionate about the intersection of artificial intelligence and health equity, demonstrated through her work as an AIM-AHEAD leadership fellow. Sonali is known for her exceptional mathematical ability and has ranked sixth in India in the National Mathematics Olympiad. She enjoys exploring broader data-related directions and is interested in tackling issues like bias in training data and distinguishing fake news from factual information. Sonali is also an active volunteer, serving as an Executive Board Member and Publications Coordinator at the Association for India's Development.
Boshika Tara is a Senior Product Manager at H&M Group, leading strategic AI and data initiatives. With extensive experience in AI application development, including roles at Capital One and Rescon AI, she merges technical prowess with product management. Boshika's background includes neurogenetics research at Stanford and education from top institutions like the University of Illinois Urbana-Champaign and The Johns Hopkins University. Her contributions extend to volunteering and projects in bioinformatics.
As an engineering leader and machine learning engineer, she possesses a unique combination of technical and interpersonal skills that make me a valuable asset to any team. With a background in both computer science and humanities, she excels in diverse professional settings and create innovative solutions that address complex challenges. My experience in data science and AI/ML with a specialization in natural language processing, demonstrates her proficiency in scientific computing.
Argyro (Iro) Tasitsiomi, PhD, is a seasoned executive with over 15 years of experience driving alpha and strategic direction in organizations. With a background in astrophysics and physics, she brings a unique perspective to her roles. Currently, as the Head of Investments Data Science at T. Rowe Price, Argyro integrates innovative investment signals with fundamental approaches and oversees Technology Innovation. She holds a PhD in Astrophysics and a Master's degree in Physics from the University of Chicago, with prestigious awards for academic excellence.
Ashley Taylor has over 13 years of experience with JM Family Enterprises, Inc., currently serving as the Machine Learning Manager. In this role, she focuses on innovative reporting and data analysis to support operations. She has a solid record of improving efficiency and accuracy through automated reporting solutions. Prior to this, Ashley worked as a Research Analyst at the University of Miami, where she designed and analyzed data reports for various departments. She holds a Master of Science degree in Electrical and Computer Engineering and a Bachelor of Science degree in Computer Engineering from the University of Miami.
Sophia Tee currently serves as the Senior Director of Data Science at Penguin Random House, where she has been for over 3 years. Prior to this role, she held positions at Verizon as a Senior Manager for over 4 years and as a Principal Data Scientist for nearly 3 years. Before Verizon, she worked at Samsung as a Data Science Manager for 2 years and at MEC as a Data Science Manager for 1 year and 8 months. Sophia started her career as an Analytic Consultant at MMA (Marketing Management Analytics) for 11 months. She holds a Master of Arts degree in Statistics from Yale University and a Bachelor of Arts (Honors) degree in Mathematical Methods in Social Sciences and Economics from Northwestern University.
Rhonda Textor is currently the Senior Vice President of Data Science at True Fit Corporation, a role she has held for over 8 years. Prior to this, she served as the VP of Data Science at True Fit for 2 years and 4 months. Before joining True Fit, Rhonda held the position of Head of Data Science for over 5 years. Her previous experience includes roles as a Program Manager and Data Scientist at Microsoft for 2 years and 2 months, and as a Technical Staff member at MIT Lincoln Laboratory for 4 years and 4 months. Rhonda holds a Ph.D. in Computer Science from Virginia Tech and a Bachelor of Science in Computer Science and Mathematics from Mansfield University of Pennsylvania. Additionally, she volunteered as a Board Member for the Cambridge Women's Center for 4 years and 3 months.
Meenakshi Thanikachalam is the Executive Head of Data & Analytics (Chief Data & Analytics Officer) at Popular Bank for 1 year and 5 months. Previously, she led data solutions and analytics innovation at Ally for 3 years and 6 months. Meenakshi holds an Executive MBA from Northwestern University and an MS in Applied Statistics & Data Science from Eastern University. She's also a Certified Business Intelligence Professional. She's involved in volunteering, including guest lecturing and panelist roles at universities.
Alina Dia Trambitas-Miron, PhD, is the Head of Product at John Snow Labs for 4 years. Previously, she served as a Solutions Lead and Data Marketplace Product Manager at the same company. With over 6 years of experience at John Snow Labs, she has been instrumental in product development and management. Alina's expertise extends to her role as an Expert Evaluator for the European Commission, where she evaluates proposals and projects in areas like Linked Data, Big Data, Semantic Web, and NLP. She holds a PhD in Computer Science from Université Joseph Fourier (Grenoble I), focusing on spatial and temporal reasoning techniques for the Geospatial Semantic Web. Additionally, she has a Master's degree in Computer Science from the same university, specializing in Intelligence, Interaction, and Information.
Tina Tran is the Sr. Director of Data Science at Insite AI, with over 13 years of experience in data analysis, statistical modeling, and machine learning. She is proficient in programming languages like Java, Python, and C++, and has expertise in advanced analysis tools such as Matlab and R. Tina has held leadership roles at Bacardi and Anheuser-Busch InBev, where she led data science teams and developed innovative analytical solutions. She holds a PhD in Computer and Information Science from the University of Mississippi. Tina is known for her strong leadership, technical skills, and ability to communicate complex ideas effectively.
Dania Triff is a Data Scientist and Enterprise Data Leader at NextEra Energy Resources with a focus on delivering business insights through data analytics and artificial intelligence. With over 5 years of experience at NextEra, she leads large teams of data scientists and engineers in implementing AI solutions to enhance customer service operations and satisfaction. Her projects include leveraging large language models for customer service transcripts analysis, anomaly detection algorithms for theft detection, and predictive models for marketing communications. Prior to her current role, Dania held leadership positions in Business Intelligence at Virgin Mobile Latam and Cable & Wireless Communications, where she designed and deployed big data BI systems using AWS cloud technologies. She also has experience as a Data Warehouse Enterprise Architect at Electronic Arts and as a BI/Data Warehouse Lead Architect at Restaurant Services, Inc. Dania holds a Master's degree in Electronic Digital Systems from the University of Havana and has pursued Internet Business Strategy at MIT Sloan School of Management.
Anusua (Anu) Trivedi, Senior Director of Applied AI at Flipkart's US R&D Center, leads a global team in delivering innovative AI solutions. With a focus on generative AI and large language models, she enhances customer experiences and optimizes supply chains. Previously at Microsoft Research, Anu spearheaded the AI for Good Research Lab, pioneering AI for Health initiatives. Passionate about ethical AI, she mentors in the University of Washington's MS in Data Science Capstone Program. Anu holds a Master's in Computer Science from the University of Utah.
Peggy Tsai is the Chief Data Officer at BigID, where she leads data governance strategy and business development. She is an expert in AI governance, speaking at conferences like Gartner Data & Analytics and MIT CDOIQ Symposium. Peggy co-authored "The AI Book" and has been featured in publications such as CDO Magazine and Business of Data. With nearly 20 years of experience, Peggy has held C-suite roles at Morgan Stanley, AIG, and S&P Global Ratings. At Morgan Stanley, she was VP of Analytics and Data, developing policies for data governance. At AIG, she was the Data Innovation Lead, focusing on data management and regulatory compliance. She is also an adjunct faculty member at Carnegie Mellon, an executive coach, podcast co-host, and a member of Women in Data and WLDA. Peggy holds a BA from Cornell University and an MS from NYU, specializing in digital transformation, data governance, AI/ML, and leadership.
Ally Tubis, Head of US Growth, Engagement & Monetization at Prime Video & Amazon Studios, is a data-driven leader with over 15 years of experience. Previously, she led the Engagement & Retention Analytics team at Disney Streaming, where she played a key role in the Disney+ launch and grew subscriber health across streaming services. Ally is also passionate about teaching and has instructed at Columbia University, sharing her expertise in economics and data analytics. She holds a Master's Degree in Economics from Columbia University and a Bachelor's Degree in Mathematics and Economics from Rutgers University.
Urvashi Tyagi is an accomplished Chief Technology Officer with a distinguished career spanning ResMed, ADP, Amex, Amazon, Microsoft, and IBM. In her role as CTO at ResMed, she led global technology, digital, and delivery organizations, driving innovation and streamlining operations across 140 countries. Urvashi is also an advisor to Marvel Venture Partners, a member of the Advisory Board at Worcester Polytechnic Institute, and a board member at AdvaMed, where she contributes to shaping the future of digital healthcare. With a Master of Science from Worcester Polytechnic Institute and an MBA from Veer Narmad South Gujarat University, she is deeply involved in mentoring and volunteering initiatives, aiming to make AI and computing more approachable for underrepresented students in K-12. Urvashi's expertise and leadership have made a significant impact on the technology landscape, driving transformative change and fostering innovation.
Kelly Uphoff is the Chief Technology Officer at Tala, known for her expertise in building high-impact engineering, data science, and product organizations. With extensive experience at Netflix and GEICO, Kelly specializes in leveraging AI, machine learning, and big data analytics to drive business value. She holds a Master of Science in Applied Economics from Illinois State University and a Bachelor of Arts in International Affairs from The George Washington University.
Ali Vanderveld, a Senior Staff Scientist at Wayfair, brings a unique blend of expertise as a PhD astrophysicist turned data scientist. With experience across diverse domains including sales, marketing, fashion, education, politics, nonprofits, and government, Ali excels in leveraging large and complex datasets to derive actionable insights. Ali holds a PhD and MS in Physics from Cornell University and a BS in Physics from the University of Illinois Urbana-Champaign. Additionally, Ali is certified in AWS Machine Learning and Solutions Architecture and volunteers for organizations such as PAWS Chicago and Skype A Scientist.
Manasi Vartak, Founder and CEO of Verta, leads a transformative MIT startup focused on AI infrastructure. With a background in AI research and extensive industry experience, Manasi invented experiment management and tracking, pioneering the development of ModelDB. At Verta, Manasi oversees the development of software infrastructure to empower enterprise data science and machine learning teams. Manasi holds a Ph.D. in AI Infrastructure from MIT and has held data science positions at Twitter and Google before founding Verta. Additionally, she has contributed to projects at Facebook, including working on Scuba, a real-time analytics system. Manasi's academic achievements include leading major projects at MIT, such as ModelDB, MISTIQUE, and SeeDB. She holds an MS/Ph.D. in Computer Science from MIT and a Bachelor of Science in Computer Science and Mathematics from Worcester Polytechnic Institute.
Jyothi K Vinjumur is a Tech Lead & AI Strategist with a focus on delivering data-driven solutions tailored to client needs. Currently Director of Global Enterprise Platforms at CBRE, she leads strategic engagements, ensuring technological solutions align with business objectives. Her expertise spans Applied AI & Intelligent Automation (IA) projects, particularly in Legal, Risk, and Compliance domains. Prior roles include Senior Manager Data Science at Walmart Global Tech and Graduate Research Assistant at University of Maryland. Jyothi's technical proficiency and effective communication skills enable her to lead dynamic teams and articulate complex technical concepts to non-technical stakeholders.
Amanda Waite is the Director of Science Education & Advancement at ANGARI Foundation, where she develops and manages educational programs focused on marine and earth sciences. With expertise in marine geology, biogeochemistry, and paleoceanography, Amanda has experience across academia, industry, and the non-profit sector. She has held positions as a Postdoctoral Fellow at the University of Florida and Smithsonian Tropical Research Institute, and as a Visiting Professor at Lafayette College. Amanda holds a PhD in Marine Geology and Geophysics from the University of Miami and an MS in Oceanography from the University of Delaware.
Jen Walraven is the Director of Data Science & Engineering at Netflix, where she leads a multidisciplinary team supporting original content production. With seven years of experience at Netflix, Jen oversees the development of tools that address operational and logistical challenges in production, utilizing a wide range of skills including operations research, analytics, machine learning, visualization, and engineering. Before joining Netflix, Jen led the data engineering team at a startup and worked in consulting, specializing in international corporate investigations. She is passionate about encouraging women in tech and has served on the board of the B-STEM Project, a non-profit organization providing educational workshops for girls in business and STEM fields.
Jing Wan is a passionate leader in AI and data science, currently serving as the Associate Director of Data Science at Verizon. With over 15 years of experience, Jing has demonstrated expertise in machine learning, data mining, big data, statistical modeling, and analysis. Prior to Verizon, Jing held roles at State Farm Insurance, where she managed a team specializing in search analytics and data science, driving digital marketing strategies. Jing's background includes positions at Sabre Corporation and Indiana University, where she contributed to research in neuroimaging and pattern analysis. She holds a Ph.D. in Computer Science from Purdue University, with a focus on pattern analysis of morphometric features from biomedical image data. Additionally, Jing holds a Master's degree in Pattern Recognition and Intelligent Systems from Shanghai Jiao Tong University.
Ruiqi Wang is a Machine Learning Engineer with experience at Restaurant Brands International, where she has held roles including Tech Lead and Machine Learning Engineer II. She has a strong background in data science and machine learning, complemented by her previous experience as a Data Engineer Intern at Align Technology and an Analyst Intern at BDA. Ruiqi holds a Master’s degree in Data Science from Duke University and a Bachelor's degree in Accounting from the University of International Business and Economics.
Claudia Williams is a healthcare visionary with extensive experience in Medicaid, data, and technology. Currently, as the Chief Social Impact Officer at UC Berkeley School of Public Health, she drives strategic partnerships and health policy initiatives. Additionally, she advises on Medicaid Managed Care at Redesign Health and hosts The Other 80 Podcast, discussing social drivers of health and healthcare transformation. With a background in Health Policy and Management from Harvard T.H. Chan School of Public Health and a BA in Political Science from Duke University, Claudia is dedicated to advancing health equity and shaping the future of healthcare.
Kimoy Williams is a Senior Director of E-commerce at Spirit Airlines, where she specializes in predictive analytics, traditional statistics, and machine learning. She has extensive experience in developing and automating enterprise-wide reports. Kimoy holds a Master of Science in Mathematics from Florida Atlantic University and a Bachelor of Science in Mathematics with a minor in Finance from Florida Memorial University. Prior to her current role, she served as Director of Systems & Development at Spirit Airlines.
Mary Wojtas is a seasoned leader in data engineering and data science, known for her passion and results-driven approach. Currently serving as the Director of Data Engineering and Data Science at Techment, Mary has a proven track record of building high-performing teams and driving innovation. With expertise in various industries including automotive, finance, and healthcare, she excels in leveraging advanced analytics and technology to drive sustainable business growth. With a Bachelor of Science in Geophysics from Texas A&M University and certifications in Azure AI Fundamentals and Oracle Cloud Infrastructure, Mary combines technical expertise with leadership skills to deliver tangible business value.
Di Wu is the VP of Data Science at Jellyfish, bringing over 7 years of experience in artificial intelligence and data science. Prior to his current role, he served as a Senior Data Scientist at Jellyfish and held positions at GEICO and NASA Goddard Space Flight Center. Di's expertise spans various industries, including product modeling, research science, and atmospheric sciences. He holds a Master of Science in Atmospheric Science from the University of North Dakota and a Bachelor of Science in Atmospheric Sciences and Meteorology from Sun Yat-sen University. Di is also certified as a Facebook Certified Marketing Science Professional and a Google Cloud Certified Professional Machine Learning Engineer. In addition to his professional endeavors, he has volunteered as a board member and webmaster for the Goddard Chinese American Club, contributing to social services and event planning within the NASA Goddard community.
Melinda Xiao-Devins is the Chief AI Architect at Visla, where she leads a skilled machine learning team focused on researching LLMs and deep learning models in NLP and computer vision. She plays multiple roles at Visla, including technical leadership, project management, and AI product initiation. Prior to her role at Visla, Melinda hired and managed the first NLP and AI team at Zoom, where she developed AI solutions for Zoom IQ and Zoom Events. With a background in NLP, computer vision, data science, software development, and cloud computing, Melinda contributes her expertise to building AI-driven products that empower customers. She holds an MSEE in Computer Software Engineering from Purdue University and a BS in Physics from Peking University.
Sophia Yang, Ph.D., serves as the Head of Developer Relations at Mistral AI, where she oversees engagement with developers and fosters relationships within the developer community. Prior to her current role, Sophia worked as a Senior Data Scientist at Anaconda, Inc. for over five years, contributing her expertise in data science and statistics. She holds a Master's degree in Computer Science and a Master of Science in Statistics from The University of Texas at Austin. Sophia is also certified in Applied Text Mining in Python and Convolutional Neural Networks through Coursera. Beyond her professional endeavors, she actively contributes to the community as the Co-Chair of PyData Global and as a member of the Small Development Grants Review Committee at NumFOCUS.
Michelle Yi is a technology leader specializing in AI and machine learning, dedicated to driving innovation for a better future. Currently, she serves as a Board Member at Women In Data™️, a Startup Mentor (AI) at German Accelerator, and a Digital Board Advisor at Hewlett Packard Enterprise. Previously, Michelle held roles such as Senior Director of Applied Artificial Intelligence at RelationalAI and Senior Director of Global AI at Slalom, where she led initiatives addressing societal challenges using advanced technologies. Michelle holds a Master's degree from Yonsei University and is a Google Certified Professional - Data Engineer. She is also actively involved in volunteering, having served as a Spanish Translator and Interpreter at White Wilson Medical Center.
Yu Yu is a Director of Data Science at BlackRoc, specializing in Generative AI Solution Building, Statistical Modeling, Machine Learning, Econometrics, Predictive Analytics, Time Series Modeling, Neural Networks, and Text Mining. With extensive expertise in programming languages like Python, R, SQL, SAS, C, and SPSS, as well as proficiency in databases such as MSSQL, Oracle, and NoSQL, Yu Yu has led various impactful projects throughout their career. Currently, Yu Yu leads a team of data scientists/engineers at BlackRoc, focusing on building production-level AI solutions. They also serve as an Advisory Board Member at the Steven Institute of Technology Data Science Program, shaping the strategic direction of the program. Yu Yu holds a Ph.D. in Quantitative Marketing from Cornell Johnson Graduate School of Management and a Master's in Economics from Indiana University Bloomington. They have actively contributed to the community, serving as the President of the Graduate and Professional Student Assembly at Cornell University.
Amy Yu is a seasoned product strategist and data scientist with a proven track record in developing teams and platforms worldwide. Currently serving as the Vice President of Product Strategy & Data Science at Paramount, Amy leads the design, development, and deployment of large-scale data science solutions. With previous roles at Viacom, MIT Media Lab, Microsoft, and Synthosys, Amy brings a wealth of experience in product management, research, and consulting. She holds a Ph.D. in Media Arts and Sciences from MIT and has completed executive leadership programs at the University of Virginia Darden School of Business. Passionate about leveraging data to simplify work and life, Amy continues to drive innovation in the field of product strategy and data science.
Jaya Zenchenko is the Sr. Director of Engineering, Data at ZenBusiness, where she leads the development and deployment of data science solutions. With a background in applied mathematics and computational analysis from Worcester Polytechnic Institute and Syracuse University, Jaya has extensive experience in data science roles across various industries. She has held positions at companies like Social Solutions, Dell Technologies, and HomeAway.com, where she developed machine learning algorithms to enhance products and collaborated closely with product and engineering teams for end-to-end product delivery. Jaya is also the Founder and Co-Organizer of Women in Data Science - ATX, a meetup group aimed at building a community for women interested in data science, machine learning, and data visualization. Passionate about education and community building, she actively contributes to STEM initiatives and has moderated panels for organizations like Persian Women In Tech.
Vivian S. Zhang is a renowned figure in the field of data science, known for her expertise in deep learning, generative AI, and machine learning. She serves as the Chief Technology Officer at SupStat Inc, where she has launched several AI companies specializing in various industries like finance, healthcare, education, and more. Vivian is also the driving force behind NYC Data Science Academy, where she designs nationally accredited programs in data science with a focus on machine learning. Additionally, she holds adjunct professor positions at Columbia University and Stony Brook University, where she supervises projects and leads code reviews for graduate students. As an active angel investor, Vivian is involved in venture capital syndicates, focusing on seed round and pre-A round investments in AI, machine learning, and data science startups across different sectors. With a background in statistics and computer science from Stanford University and Columbia University, Vivian continues to make significant contributions to the data science community through her educational initiatives, investments, and innovative AI ventures.
Xuan Zhang is a highly analytical and result-driven Lead Product Manager at Allstate, with over five years of experience in data science. Skilled in cross-functional collaboration, process improvement, and project deployment, Xuan has a strong background in Agile methodology, statistics, big data, and analytics. Proficient in tools such as SQL, R, Python, Tableau, Jira, and Confluence, Xuan has a proven track record of delivering successful business solutions and exceeding expectations. Previously, Xuan held roles at American Express, Norwegian Cruise Line, and earned a Master of Science in Business Analytics from the University of Miami.
Tianxia Zhao has a wealth of experience in the oil & energy industry, specializing in data analytics, machine learning, deep learning, big data, petroleum, antennas, data analysis, and more. With a Ph.D. in applied electromagnetics/Electrical Engineering from the University of Houston, Tianxia has held various roles in companies like Shell, Accenture, and Schlumberger. At Shell, Tianxia works on power trading fundamentals, utilizing algorithms, software, and machine learning and AI. Throughout their career, Tianxia has demonstrated expertise in research, development, and implementation across a wide range of projects in the energy sector.
Alice Zheng is a machine learning expert known for her leadership in companies like Amazon and Microsoft. At Amazon, she led projects in display advertising, developing new ad ranking algorithms. At Microsoft, she contributed to research in network security and performance analysis. She holds a Ph.D. from UC Berkeley and is the author of "Mastering Feature Engineering" and "Evaluating Machine Learning Models" by O'Reilly Media.
This technology leader boasts over 20 years of experience in software development, with expertise spanning payment systems, identity and access management, security, and e-commerce. Their career highlights include roles at JPMorgan Chase & Co., Stripe, Visa, eBay, and PayPal. They are recognized for building and leading high-performing teams and delivering large-scale software projects. With a commitment to continuous improvement and engineering excellence, they advocate for clean code, architecture, and full test automation. Holding a Ph.D. in Environmental Chemistry from Peking University, they are known for their curiosity, adaptability, and willingness to take on new challenges.
Cecilia Ziniti is a seasoned executive with a diverse background in technology, startups, and law. She currently serves as the CEO & Founder of GC AI, specializing in AI for in-house counsel. Previously, she was a founding member of Amazon's Alexa team and held leadership positions at various venture-backed companies. Ziniti is an active angel investor and advisor, supporting startups and scale-ups in AI, compliance, and software. She holds a JD from the University of California, Berkeley - School of Law, and completed the General Course in economics at The London School of Economics and Political Science (LSE). Ziniti is also a Certified Information Privacy Professional (CIPP/US) from the International Association of Privacy Professionals (IAPP) and serves as an Attorney Expert (Volunteer/Pro Bono) for the U.S. Department of Commerce. Throughout her career, she has demonstrated exceptional business judgment and leadership skills, contributing to significant user growth, strategic partnerships, and successful fundraising rounds. Ziniti is also known for her contributions to the tech and venture communities as a speaker on leadership and women in tech.
Women have significantly shaped modern technology through their hard work, devotion, and intelligence, driving innovation and progress across various domains. Their contributions span from leading groundbreaking research and developing cutting-edge technologies to steering major tech companies and championing ethical standards in AI. These women bring diverse perspectives and skills, fostering inclusive environments that enhance creativity and problem-solving. Their dedication and resilience have not only propelled technological advancements but also inspired future generations to pursue careers in STEM, ensuring a more equitable and dynamic tech landscape. Through their relentless efforts, women continue to redefine what is possible in the digital age.
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