معرفی
Ziad Obermeyer is the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health. He previously held an Assistant Professor position at Harvard Medical School, where he received the NIH Early Independence Award. His work focuses on the intersection of machine learning, medicine, and health policy, addressing issues like algorithmic bias, healthcare equity, and clinical decision-making. He continues practicing emergency medicine in underserved areas while co-founding initiatives like Nightingale Open Science and Dandelion Health.
Education:
- MD – Harvard Medical School
- MPhil – University of Cambridge (History and Philosophy of Science)
- BA – Harvard College
His research interests span machine learning applications in healthcare, including bias mitigation in clinical algorithms, equitable AI development, and leveraging medical imaging data. He emphasizes the need for open, curated datasets to advance healthcare innovation, as seen with Nightingale Open Science. He also explores how socioeconomic factors influence health outcomes, such as educational attainment and racial disparities.
Grants and Collaborations: Obermeyer leads grant-funded projects like 'Assessing the Overuse and Underuse of Diagnostic Testing' and 'A Machine Learning Platform for Digitized ECG Waveforms.' He co-organized NBER conferences on AI in healthcare and runs a lab with Sendhil Mullainathan.
Recognition:
- TIME’s 100 Most Influential People in AI (2021)
- National Academy of Medicine Emerging Leader (2023)
- NIH Early Independence Award (2015)
