Margot Yann, Ph.D. is Director of the Data & Analysis Center and Principal Data Scientist at UC Berkeley's Forum for Collaborative Research, where she leads cross-functional initiatives that apply artificial intelligence, machine learning, and advanced analytics to accelerate drug development and improve healthcare research, policy, and outcomes.

A computer scientist by training, Margot holds a Ph.D. in Machine Learning with a specialization in multi-agent learning. She brings over 15 years of experience across academia, government, and industry in the UK, Canada, and the United States. Throughout her career, she has led multidisciplinary teams in Fortune 500 companies and startups, served as Principal Investigator and Co-Principal Investigator on healthcare research initiatives, and developed expertise in artificial intelligence, big data analytics, natural language processing, computer vision, and electronic health record (EHR) systems

Margot has taught at the University of Toronto, served on scientific program committees for IJCAI and AAAI, and was a Steering Committee member of the Clinical Research Data Sharing Alliance (CRDSA). She is also a member of the American Association for the Study of Liver Diseases (AASLD) and has completed executive training in regulatory science and drug development at Stanford University, UCSF, and UC Berkeley.

As a leader in AI and healthcare, Margot is committed to advancing innovation through data-driven solutions that harness artificial intelligence, machine learning, and biomedical analytics to accelerate scientific discovery, improve healthcare delivery, and shape the future of medicine.