250+ women in AI and Machine Learning to follow - Data Science Salon guide

By Konrad Budek

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 SVP -  Global Data & Technology at Starcom

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.

 

Linkedin 

Sarah Aerni - VP Machine Learning and Engineering at Salesforce

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.

Linkedin

Shuchi Agrawal  Chief Data Officer at Citi

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.

 

Linkedin

Sivan Aldor-Noiman -  CTO at Banff advisors

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.

Linkedin

Polly M Allen -  AI Product Coach and Advisor and Founder -  at AI Career Boost

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.

Linkedin

Dr June Andrews -  Founder at Lat Long Labs

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.

LinkedIn

Julia Angwin -  CEO Proof News

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.

LinkedIn

Anna Anisin - Founder & CMO at Formulated𝐁𝐲 + DataScience.Salon

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.

LinkedIn

Catalina Arango -  VP Data at Blackstone

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.

LinkedIn

Sarah Arnett SVP Data & Technology Carat USA

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.

LinkedIn

Carme Artigas - Co-char AI Advisory Body for the UN

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.

LinkedIn

Kamelia Aryafar - Chief Algorithms and Analytics Officer at Google

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.

LinkedIn

Swagata Ashwani - Podcast Host at The Data Dojo and Chapter Lead at Women in Data

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.

LinkedIn

Maria Luciana Axente - Head of AI Public Policy and Ethics @ PwC UK

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.

LinkedIn

Theodora Bakker

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.

LinkedIn

Meltem Ballan CEO and Co-founder @ Concrete Engine

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.

LinkedIn

Dr. Elizabeth Barth-Thacker - VP - Head of Data & Analytics at American Modern Insurance Group

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.

LinkedIn

Anne Bauer -  Executive Director of Data Science at The New York Times

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.

LinkedIn

Katie Bauer -  Head of Data at GlossGenius

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.

Linkedin

Mikiko Bazeley - MLOps & AI Engineer - Developer Advocacy at Labelbox

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.

LinkedIn

Sheila Beladinejad, President at Women in AI & Robotics

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.

LinkedIn

Belinda Bennett - Staff BI Engineer Airbnb

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

LinkedIn

Deborah Berebichez - Partner | Global AI Transformation Product Leader at EY

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.

LinkedIn

Olga Berezovsky - Head of Data and Analytics at Scopeclarity LLC

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.

LinkedIn

Rehgan Bleile (Avon) - Founder of Women in Analytics (WIA) and AlignAI

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.

LinkedIn

Jodi Blomberg -  VP Data Science at Cox Automotive

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.

LinkedIn

Roja Boina - Software Engineering Sr Advisor - Cigna Healthcare

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.

LinkedIn

Joy Bonaguro -  ex Chief Data Officer -  State of California -  Chief Data Scientist SF

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

LinkedIn

Michelle Bonat - Chief AI Officer at AI Squared

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.

LinkedIn

Irina Borosova King -  AI Governance at Adobe

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.

LinkedIn

Irina Borosova King -  AI Governance at Adobe

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.

LinkedIn

Dr. Joy Buolamwini - Best-Selling Author of Unmasking AI

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.

LinkedIn

Lisa Burton O'Toole VP Data Scientis HearstLab

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.

LinkedIn

Graziella Caputo Principal Data Scientist - Sustainability Leader IBM

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.

LinkedIn

Elizabeth Chabot -  Director of Information Technology at Abbott

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.

LinkedIn

Anna Chaney -  Engineering Leader at Procore Technologies

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.

LinkedIn

Prosasty Chaudhuri — Former —Global Head of Data And Policy at Citi

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.

LinkedIn

Lydia Chen Director of Data Science Gannett

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).

LinkedIn

Dr. Rumman Chowdhury -  Member -  Artificial Intelligence Safety and Security Board at U.S. Department of Homeland Security

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.

LinkedIn

Karin Chu -  Vice President -  Head of AI Ahold Delhaize USA

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.

LinkedIn

Vidhi Chugh -  Chief AI Officer at All About Scale

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.

LinkedIn

Christianna Clark Head of Data and Engineering at Methods+Mastery

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).

LinkedIn

Christianna Clark Head of Data and Engineering at Methods+Mastery

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.

LinkedIn

Michelle A. Coca -  Data & Analytics Senior Consultant at SEI Miami

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.

LinkedIn

Michelle A. Coca -  Data & Analytics Senior Consultant at SEI 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.

LinkedIn

Marie Crappe -  Head of Data at Choose

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.

LinkedIn

Poppy Crum -  Former Chief Scientist at Dolby Labs

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.

LinkedIn

María Paz Cuturi -  Senior Machine Learning Engineer en Tryolabs

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.

LinkedIn

Samantha Cvetkovski -  Director -  Data & Analytics at TOCA Football

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.

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Amy Daali  Chair IEEE Engineering in Medicine and CEO at Lucea AI

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

LinkedIn

Anusha Dandapani, Chief Data & AI Services Officer at UNICC

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.

LinkedIn

Debasmita Das -  Manager Data Science at MasterCard

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.

LinkedIn

Gabriela de Queiroz -  Director of AI & AI Advisor for Startups @ Microsoft

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.

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Zhamak Dehghani -  NextData -  Data Mesh

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.

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Ying Ding -  Bill & Lewis Suit Professor -  School of Information -  Dell Medical School -  University of Texas at Austin

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.

LinkedIn

Surnjani Djoko Senior Lead Data Scientist/Machine Learning Citi

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.

LinkedIn

Olivia Do -  Product Manager at Streamlabs

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.

LinkedIn

Ana Maria Echeverri -  Gen AI at AWS

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.

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Laura Edell Chief Data Scientist - AI Markets & Innovation Microsoft

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.

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Dr. Rana el Kaliouby - the Co-Founder of Affectiva -  just recently launched a new AI fund for women called: Blue Tulip Ventures

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.

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Carmen Elias, Vice President of Engineering at American Express

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.

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Elenita Elinon Executive Director at JP Morgan Chase

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.

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Laura Grace Ellis -  Vice President -  Data & AI at Rapid7

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.

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Natasha Ericta -  VP of Data Science and Analytics at Aspiration

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.

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Natalie Evans Harris - Chief Data Officer at MD State

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.

LinkedIn

Hoda Eydgahi -  Director of Machine Learning Engineering @ Shopify

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.

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Elena Ferri -  Head of Data Science Center of Excellence - AVP Federal Reserve Bank of New York

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.

LinkedIn

Ariadna Font Llitjós, Co-founder and CEO at Alinia AI 

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.

LinkedIn

Celeste Fralick Chief Data Officer Choir Corp

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.

LinkedIn

Christine Francisco -  VP Data Science at JP Morgan Chase

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.

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Laura Gabrysiak -  Sr Manager Global Data Science at Visa

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.

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Diala Gammoh - Vice President - Data Strategy & Monetization at NBC Universal

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.

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Olga Gareeva - Partner & Managing Director -  Tech Modernization Practice Leader at AlixPartners

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.

LinkedIn

Garima Garg -  Staff Data Scientist at Raya

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.

LinkedIn

Jennetta George -  SVP of Digital AI & Data at AlixPartners

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.

LinkedIn

Amy Gershkoff Bolles -  Chairperson  -  Advisory Board -  Product & Technology at Boats Group

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.

LinkedIn

Devshree Golecha Vice President of Data TDECU

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.

LinkedIn

Madison Gooch -  Vice President -  watsonx

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.

LinkedIn

Hillary Green-Lerman -  Data Visualization Platform Expert at Google

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.

LinkedIn

Michelle Gregory - Chief Data Scientist at [24]7.ai

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.

LinkedIn

Yasaman Hadjibashi -  CEO & Co-founder at Stretch

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.

LinkedIn

Heather Harris -  Field CDAO at Alteryx

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.

LinkedIn

Lauren Hasson Founder and Key Note Speaker DevelopHer

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.

Linkedin

Marti Hearst -  computational linguistics at UC Berkeley

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.

LinkedIn

Amy Heineken -  nlp work at Primer and Quid

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.

LinkedIn

Ella Hilal -  VP of Data Science and Engineering at Meta

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.

LinkedIn

Elizabeth Ho  Manager -  Analytics & Women in Data Dallas Chapter Co-Lead Neiman Marcus

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.

LinkedIn

Sarah Hoffman -  VP -  AI and Machine Learning Research at Fidelity Investments

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.

LinkedIn

Jessica Hogue - Chief Data Officer -  Consumer Media @ Hearst

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.

LinkedIn

Julie (Krugler) Hollek Director of Data Science Mozilla

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.

LinkedIn

Cindi Howson - Chief Data Strategy Officer at AI-analytics ThoughtSpot

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.

LinkedIn

Nicole Hu -  CTO and Co-Founder at One Concern -  Inc.

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.

LinkedIn

Caitlin Hudon -  Data Science @ Figma

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.

LinkedIn

Romy Hussai -  Vice President -  Data | ML | Analytics at Cohere Health

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.

LinkedIn

Chip Huyen -  VP of AI & OSS at Voltron Data

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.

LinkedIn

Katerina Iliakopoulou-Zanos - Senior ML Engineer @ Meta

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.

LinkedIn

Priya Iragavarapu,VP, Data Science & AI at AArete

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.

LinkedIn

Biljana Jovanova  Manager of Data Science H-E-B

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.

LinkedIn

Ritu Jyoti -  Research and Advisory@ IDC

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.

LinkedIn

Yi Kang -  Director of Data Science at the Hilton

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.

LinkedIn

Supreet Kaur -  Assistant Vice President -  Morgan Stanley

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.

LinkedIn

Chandni Kazi -  Data Scientist at Great Places to Work US

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.

LinkedIn

Saira Kazmi -  Executive Director -  Data Science and ML at CVS Health

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.

LinkedIn

Iuliia Khansviarov -  Former VP Analytics at SEMRush

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.

LinkedIn

Muna Khayyat -  Executive Director -  ML lead at Mogan Stanely

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.

LinkedIn

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.

LinkedIn

Monica Klawitter Data Scientist Lead at AAA-The Auto Club 

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.

Linkedin

Jennifer Kloke -  Vice President of Artificial Intelligence at Autonomize AI

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.

LinkedIn

Sarah Koehler -  Data Science Manager at trivago

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.

LinkedIn

Sreevani Konda  Director -  Data Analytics and Data Governance Fidelity Investments

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.

LinkedIn

Natalie Kortum -  Chief Technology Strategist at Dell

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.

LinkedIn

Beata Kouchnir Director of Machine Learning Glassdoor

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.

LinkedIn

Cassie Kozyrkov - Google's first Chief Decision Scientist

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.

LinkedIn

Dr. Anastassia Lauterbach - Founder and CEO of AI Edutainment

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.

LinkedIn

Liliya Lavitas -  Data Science Leader at Google

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.

LinkedIn

Linda Leopold -  Head of AI Strategy at H&M Group

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.

LinkedIn

Alexandra Levinson -  Principal Algorithms/ AI Engineer at Elbit Systems of America

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.

LinkedIn

Marta Lew -  Principal Data Scientist at DRINKS

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.

LinkedIn

Hongfei Li -  Managing Director -  Chief Data & Analytics Officer at Osso Capital

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.

LinkedIn

Kylie Li -  Former Sr Manager -  Data Science at JG Wentworth

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.

LinkedIn

Valerie A. Logan -  CEO & Founder of THE DATA LODGE

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.

LinkedIn

Randi R. Ludwig -  Former -  Director -  Data Science at Dell Technologies

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.

LinkedIn

Giorgia Lupi -  Data Viz Award Winner and Leader

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.

LinkedIn

Anita Lynch - CDO and Board member and Nasdaq

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.

LinkedIn

Yuling Ma -  Chief Technology Officer at FreeWheel

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.

LinkedIn

Maria Macuare - Global Chief Data Officer at Mondelēz International

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.

LinkedIn

Debbie Madden -  Founder at Stride Consulting

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.

LinkedIn

Boryana Manz Sr. Manager -  Data Science Capital One

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.

LinkedIn

Angela (Bassa) Manzo -  Infrastructure Devision at Appla

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.

LinkedIn

Rochelle March, Founder and Principal at People Places Words Actions

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.

LinkedIn

Sherry Marcus -  Generative AI Leadership at Amazon

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.

LinkedIn

Lynn Martin -  President -  NYSE Group

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.

LinkedIn

Kim Martin -  Director of Engineering at Indeed.com

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.

LinkedIn

Tatsiana Maskalevich - Director of Data Science and Engineering at Netflix

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.

LinkedIn

Ariana McClain -  Research at Cruise

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.

LinkedIn

Alicia Moniz -  Data & AI Specialist at Microsoft

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.

LinkedIn

Rachini Moosavi, Chief Analytics Officer at UNC Health 

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.

LinkedIn

Barr Moses -  CEO at Monte Carlo

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.

LinkedIn

Mira Murati - CTO of OpenAI

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 -  Data Science Manager at Meta

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.

LinkedIn

Karyna Naminas, CEO of Label Your Data

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.

 

LinkedIn

Amarita Natt -  Managing Director -  Data Science at Econ One Research

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.

LinkedIn

Anna Nicanorova -  CTO at Annalect

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.

LinkedIn

Jean-leah Njoroge -  Former Director - Data Science/ Conversational AI at Lowe's Companies -  Inc

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.

LinkedIn

Liz O'Sullivan -  Chief Executive Officer at Vera

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.

LinkedIn

Candace Ohm Director of Product Analytics Cardlytics

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.

LinkedIn

Stefania Ólafsdóttir: founder/CEO Avo

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.

LinkedIn

Tania Oliveira -  Head of Data Science - Visa Consulting & Analytics

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.

LinkedIn

Selen Onel -  Associate Director Data Science at Chewy

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.

LinkedIn

Mimi Park  Sr. Technical Advisor (AI/ML) Databrickas

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.

LinkedIn

Beth Partridge -  CEO/Founder/Chief Data Scientist at milk+honey

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.

LinkedIn

Inessa Pawson -  Open Source Program Manager at OpenTeams

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.

LinkedIn

Paula Payton -  Head of Data Science & Survey Advisory Deloitte Research

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.

LinkedIn

Claudia Pereira Johnson -  Head of Marketplace Search and Personalization at Nubank

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.

LinkedIn

Claudia Pereira Johnson -  Head of Marketplace Search and Personalization at Nubank

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.

LinkedIn

Carey Phelps: Head of Product at Weights and Biases

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.

LinkedIn

Mara Pometti -  Associate Director AI Strategy and Governance at McKinsey & Company

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.

LinkedIn

Lalitha Pragada -  Former -  Head of Data Science at AffiniPay

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.

LinkedIn

Lalitha Pragada -  Former -  Head of Data Science at AffiniPay

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).

LinkedIn

Elizabeth Pritchard - Chief Data and Analytics Officer at Liberty Mutual Investments

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.

LinkedIn

Astha Puri, Senior Data Scientist - AI, Algorithms & Data Science on CVS Health 

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.

LinkedIn

Jayeeta Putatunda -  Senior Data Scientist -  Manager - Core Operations at Fitch Ratings

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.

LinkedIn

Kasia Rachuta -  Data science tech lead at Square

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.

LinkedIn

Nicole Radziwill, Chief Data & AI Officer 

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.

LinkedIn

Ramya Raghunathan, Data Science Leader at Target

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.

LinkedIn

Sumayah Rahman -  Director of Data Science at Cedar

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.

LinkedIn

Sumedha Rai -  Artificial Intelligence -  NLP at Acorns

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.

LinkedIn

Deborah Raji: AI Ethics

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.

LinkedIn

Dhivya Rajprasad -  Data Leadership at Zoom

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.

LinkedIn

Mathangi Sri Ramachandran -  Chief Data Officer at YUBI

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.

LinkedIn

Sol Rashidi - Best Selling Author on AI

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.

LinkedIn

Surbhi Rathore - CEO & Co-founder at Symbl.a

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.

LinkedIn

Ashwini Reddy Mandadi -  Data Engineering Manager -  Advanced Analytics at Meta

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.

LinkedIn

Alexandria Redmon -  Senior Director of Product & Technology at Hearst

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.

LinkedIn

Hui Ren Engineering Manager -  Data Science athenahealth

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.

LinkedIn

Salema Rice - Chief Executive Officer & Founder -  CDO Today

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.

LinkedIn

Emily Riederer -  Senior Analytics Manager at Capital One

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.

LinkedIn

Sandra Rivera -  Altera CEO -  An Intel Company

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.

LinkedIn

Rodrigues, Senior Manager, Data Science at Red Hat

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.

LinkedIn

Farjana Rohman,  Director, U.S. Liquidity Product Head at CitiKate 

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.

LinkedIn

Dr. Meri Rosich -  CEO Asia Pacific and Middle East at Oceonomy

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.

LinkedIn

Ali Rossi - Senior Data Scientist / Tech Lead @ Foursquare

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.

LinkedIn

Jaime Russ - Former Principal Data Scientist at Ryder System - Inc

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.

LinkedIn

Noelle Russell -  Chief AI Officer at AI Leadership Institute

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.

LinkedIn

Allison Sagraves - Chief Data & AI Officer Faculty at Carnegie Mellon University

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.

LinkedIn

Yasmin Sahaf -  Machine Learning Tech Lead @ Dell Technologies

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).

LinkedIn

Dr. Lovedeep Saini -  Data Science Manager @ Gallagher

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).

LinkedIn

Noelle Saldana -  Data Scientist Consultant at DataKind

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.

LinkedIn

Lynn Sautter Beal -  VP @ Upstart

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.

LinkedIn

Ariane Schiereck -  Chief Information Officer at Hollister Incorporated

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.

LinkedIn

Anna Schneider -  Director of Software Engineering at Form Energy

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.

LinkedIn

Friederike Schüür - Chief of Data Strategy and Data Governance at UNICEF

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.

LinkedIn

Chanuki Illushka Seresinhe - Chief Data and Technology Officer -  Boon

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.

LinkedIn

Cheryl (Yeoh) Sew Hoy -  CEO & Founder at Tiny Health

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.

LinkedIn

Sameena Shah - Chief AI Officer at JPMorgan Chase

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.

LinkedIn

Laya Shamgah -  Sr Data Scientist at Lowes

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.

LinkedIn

Smiti Sharma -  Former VP Field Engineering -  Americas at DataStax

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.

LinkedIn

Meenakshi Sharma, Principal AI Product Manager, Medline Industries

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.

LinkedIn

Rebecca Sharpe - Chief Technology Officer & Chief Marketing Officer @ Miami Waterkeeper

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.

LinkedIn

Kimberly Shenk -  Co-founder & CEO @ Novi

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.

LinkedIn

Amy Shi-Nash - Chief Analytics and Data Officer at Tabcorp

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.

LinkedIn

Rachel Shuyan Wang -  Head of Data Science at Wish

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.

LinkedIn

Perla  Sierra VP Enterprise Data Governance -  Data Analytics Assurant

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.

LinkedIn

Alyssa Simpson Rochwerger -  Author Real World AI

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.

LinkedIn

Swatee Singh - EVP -  Chief Data and AI Officer at TIAA

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.

LinkedIn

Beate Sissenich, Vice President, Data Science at Nielsen

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.

LinkedIn

Ariana Smetana -  Chief Executive Officer -  Founder at AccelIQ.digital

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.

LinkedIn

Genevieve Smith -  Founding Co-Director -  Responsible & Equitable AI Initiative -  Berkeley Artificial Intelligence Research

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.

LinkedIn

Tatsiana Sokalava -  CEO | Co-Founder at Career Scoops

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.

LinkedIn

Emily Springer -  Consultant - Feminist AI -  Global Center for Gender Equality

 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.

LinkedIn

Sadie St. Lawrence - Founder -  HMC Institute & Women in Data

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.

LinkedIn

Erin Stanton -  Global Head of Portfolio and Trading Analytic Client Support Virtu Financial

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.

LinkedIn

Jess (Porter) Stauth -  Chief Investment Officer - Systematic Equity @ Fidelity

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.

LinkedIn

Kate Strachnyi -  Data & AI Content Creator at DATAcated

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.

LinkedIn

Helen Sun -  Engineering Leader at Meta

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.

LinkedIn

Saishruthi Swaminathan -  Tech Ethics Advocate and Educator at IBM

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.

LinkedIn

Sonali Syngal -  Lead ML Scientist at Expedia Group

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.

LinkedIn

Chiara Talerico -  tracking animal trafficking w/ analytics

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).

LinkedIn

Sonali  Tamhankar -  Senior Clinical Data Scientist at Fred Hutchinson Cancer Center

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.

LinkedIn

Boshika Tara, Senior Product Manager and Chair of H&M's Enterprise Data Counci

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.

LinkedIn

Fatma Tarlaci -  VP Engineering at Open Teams

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.

LinkedIn

Iro Tasitsiomi -  Head of Investment Data Science at T.Rowe Price

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.

LinkedIn

Ashley Taylor -  Machine Learning Manager at Southeast Toyota Finance

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.

LinkedIn

Sophia Tee -  Senior Director of Data Science at Penguin Random House

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.

LinkedIn

Rhonda (Phillips) Textor -  SVP of Data Science at True Fit Corporation

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.

LinkedIn 

Meenakshi Thanikachalam - Chief Data Officer at Popular Bank

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.

LinkedIn

Alina Dia Trambitas-Miron -  Head of Product at John Snow Labs

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.

LinkedIn

Dania Triff -  NextEra Senior Data Science Manager- Customer Service

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.

LinkedIn

Anusua (Anu) Trivedi -  Sr. Director Applied AI at Flipkart

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.

LinkedIn

Peggy tsAI, Chief Data Officer at BigID

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.

LinkedIn

Ally Tubis -  Head of US Growth -  Engagement and Monetization at Prime Video & Amazon Studios

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.

LinkedIn

Urvashi Tyagi - Chief Technology Officer at ResMed

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.

LinkedIn

Kelly Uphoff -  CTO at Tala

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.

LinkedIn

Ali Vanderveld -  Senior Staff Scientist at Wayfair

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.

LinkedIn

Manasi Vartak -  Founder and CEO at Verta

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.

LinkedIn

Jyothi K Vinjumur - Director -  Legal Analytics CBRE

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.

LinkedIn

Jen Walraven -  Director -  Data Science & Engineering at Netflix

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.

LinkedIn

Jing Wan Senior Data Science Manager  Verizon

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.

LinkedIn

Claudia Williams -  UC Berkeley -  Obama admin

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.

LinkedIn 

Mary Wojtas -  Director of Data Engineering and Data Science at Techment

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.

LinkedIn

Di Wu VP -  Data Science at Jellyfish

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.

LinkedIn

Melinda Xiao-Devins -  Chief AI Architect at Visla

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.

LinkedIn

Sophia Yang -  Head of Developer Relations @ Mistral AI

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.

LinkedIn

Michelle Yi -  Board Member at Women in Data

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.

LinkedIn

Yu Yu -  Director of Data Science at BlackRock

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.

LinkedIn

Amy Yu -  Vice President -  Product Strategy & Data Science at Paramount

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.

LinkedIn

Jaya Zenchenko Sr. Director of Engineering -  Data ZenBusiness

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.

LinkedIn

Vivian S. Zhang -  Chief Technology Officer at Supstat Inc

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.

LinkedIn

Tianxia Zhao Industrial AI Team Lead Shell

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.

LinkedIn

Alice Zheng -  AI Leader

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.

LinkedIn

Mei Zhu Sr Director of Software Engineering JPMorgan Chase

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.

LinkedIn

Cecilia Ziniti -  CEO GC AI

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.

LinkedIn

Summary

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.

If you'd like to add someone to this list, please reach out to our editorial team at info@formulatedby.com.









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