Ziad Obermeyer is an Associate Professor of Health Policy and Management. He is a physician and researcher who works at the intersection of machine learning and health.
Ziad Obermeyer is an Acting Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health, where he does research at the intersection of machine learning, medicine, and health policy. He previously was an Assistant Professor at Harvard Medical School, where he received the Early Independence Award, the National Institutes of Health’s most prestigious award for exceptional junior scientists. He continues to practice emergency medicine in underserved parts of the US. Prior to his career in medicine, he worked as a consultant to pharmaceutical and global health clients at McKinsey & Co. in New Jersey, Geneva, and Tokyo.
- MD – Harvard Medical School
- MPhil – Cambridge
- BA – Harvard College
- PB HLTH 196: Artificial Intelligence for Medicine and Health Policy
- PB HLTH 293.X Health Seminar: Data Science in Health Policy (Fall)
- PB HLTH 237D Seminar: Health Policy Dissertation Seminar (Fall)