Please join us for an engaging and interactive symposium where world experts on AI for data science will gather to discuss numerous topics including: How AI can be integrated into the workflow of data scientists to gain efficiency and advance translational research; The challenges and solutions of integrating AI into the workflow with respect to rigor and ethics; The implications of AI integration on training the next generation of data scientists, and more!
This event is free and open to all.
Register Here!
Review Symposium Agenda Here
Special Guest Speakers
Lloyd Minor, MD
Carl and Elizabeth Naumann Dean of the School of Medicine,
Vice President for Medical Affairs, Stanford University
Ruth O'Hara, PhD
Senior Associate Dean for Research, Director, Stanford Spectrum; Lowell W. and Josephine Q. Berry Professor of Psychiatry and Behavioral Sciences, Stanford School of Medicine
Michael Pencina, PhD (Keynote Speaker)
Chief Data Scientist for Duke Health, Vice Dean of Data Science, Director of Duke AI Health, Professor of Biostatistics and Bioinformatics, Duke University School of Medicine
Panel Moderators and Panelists
John Auerbach, MBA
Senior Vice President for Federal Health, ICF International
Laurence Baker, PhD
Bing Professor of Human Biology, Professor of Health Policy, Stanford School of Medicine
Jade Benjamin-Chung, PhD
Assistant Professor of Epidemiology and Population Health, Stanford School of Medicine
Melissa Bondy, PhD
Chair of the Department of Epidemiology and Population Health, Stanford Medicine Discovery Professor, Professor of Epidemiology and Population Health and, by courtesy, of Pediatrics, Stanford School of Medicine
Bryan Bunning
PhD Student in Bioinformatics, Stanford University
Manisha Desai, PhD
Associate Dean for Quantitative and Data Sciences, Kim and Ping Li Professor of Medicine and Biomedical Data Science, Director of the Quantitative Sciences Unit, Stanford School of Medicine
Steve Goodman, MD, MPH, PhD
Associate Dean of Clinical and Translational Research, Professor of Epidemiology and Population Health, of Medicine (Primary Care and Population Health) and, by courtesy, of Health Policy, Stanford School of Medicine
Eleni Linos, MD, MPH, DrPH
Director, Stanford Center for Digital Health, Associate Dean for Research, Professor of Medicine, Dermatology, and Epidemiology and Population Health, Stanford School of Medicine
Mark Musen, MD, PhD
Stanford Medicine Professor of Biomedical Informatics Research, Professor of Medicine and of Biomedical Data Science, Director of the Stanford Center for Biomedical Informatics Research, Stanford School of Medicine
Ivor Horn, MD, MPH
Pediatrician, Health Services Researcher, Former Chief Health Equity Officer at Google
Nigam Shah, MBBS, PhD
Chief Data Scientist for Stanford Health Care, Associate Dean for Research, Professor of Medicine and Biomedical Data Science, Stanford School of Medicine
Sara Singer, MBA, PhD
Professor of Health Policy and Medicine, Stanford School of Medicine, and by courtesy, Professor of Organizational Behavior, Stanford Graduate School of Business, Senior Fellow, Freeman Spogli Institute for International Studies
Michelle Williams, SM, ScD
Joan and Julius Jacobson Professor of Epidemiology and Public Health, Harvard T.H. Chan School of Public Health, Harvard University
James Zou, PhD
Associate Professor of Biomedical Data Science, Stanford School of Medicine, and by courtesy, Computer Science and Electrical Engineering, Stanford University School of Engineering