Ziad Obermeyer

Ziad Obermeyer stands as a leading researcher and practitioner at the intersection of machine learning, medicine, and health policy. After receiving the prestigious Early Independence Award from the National Institutes of Health during his tenure as an Assistant Professor at Harvard Medical School, Ziad Obermeyer went on to establish himself as a leading figure at the intersection of machine learning, medicine, and health policy. He currently serves as the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health, where his research is dedicated to applying advanced machine learning techniques to improve healthcare outcomes and address systemic biases. Concurrently, Obermeyer maintains an active medical practice, working as an emergency medicine physician in underserved areas across the United States.

Obermeyer’s ongoing commitment to translating research into real-world impact is evident through his continuous work in both academia and clinical practice. He remains at the forefront of developing innovative solutions that leverage data science and AI to foster equitable and effective healthcare systems, ensuring his work profoundly influences health policy and patient care outcomes across the United States.