Ziad Obermeyer is an 作用副教授 of 卫生政策与管理 at the UC Berkeley 公共卫生学院, 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 - 哈佛医学院
- 哲学硕士 - 剑桥
- 巴 - 哈佛学院
- HLTH BP 196：人工智能，医药卫生政策
- PB HLTH 293.x健康讲座：在卫生政策数据科学（秋天）
- HLTH BP 237D研讨会：健康政策研讨会论文（秋天）