Ziad Obermeyer, MD
Emergency Physician, BWH; Assistant Professor, HMS
Ziad Obermeyer, MD is an Assistant Professor at Harvard Medical School and an emergency physician at the Brigham and Women’s Hospital, both in Boston.
His lab applies machine learning to solve clinical problems. As patients age and medical technology advances, the complexity of health data strains the capabilities of the human mind. Using a combination of machine learning and traditional methods, his work seeks to find hidden signal in health data, help doctors make better decisions, and drive innovations in clinical research.
He is a recipient of multiple research awards from NIH (including the Office of the Director and the National Institute on Aging) and private foundations, and is a faculty affiliate at the Harvard Institute for Quantitative Social Science, Ariadne Labs, and ideas42. He holds an A.B. (magna cum laude) from Harvard and an M.Phil. from Cambridge, and worked as a consultant at McKinsey & Co. in Geneva, New Jersey, and Tokyo, before returning to Harvard for his M.D (magna cum laude).