- Residency – Emergency medicine: Brigham and Women's, Massachusetts General, Boston Children’s Hospitals
- MD – Harvard Medical School (magna cum laude)
- MPhil – Cambridge
- BA – Harvard College (magna cum laude)
- PH293.X Health Seminar: Data Science in Health Policy (Fall)
- PH237D Seminar: Health Policy Dissertation Seminar (Fall)
Ziad Obermeyer is a physician and researcher who works at the intersection of machine learning and health. His research seeks to understand and improve decision making in public policy and clinical medicine, and drive innovations in health research. His work has been published in Science, The New England Journal of Medicine, JAMA, The BMJ, and Health Affairs. He is the recipient of an Early Independence Award from the Office of the Director of the National Institutes of Health, and the Young Investigator Award from the Society for Academic Emergency Medicine. His research is supported by the National Institutes of Health, the Robert Wood Johnson, the World Bank Group, and the Laura and John Arnold Foundation.
Dr. Obermeyer holds a BA (magna cum laude) from Harvard and an MPhil from Cambridge, where he was a Frank Knox fellow in the history and philosophy of science. He worked as a consultant to pharmaceutical and global health clients at McKinsey & Co. in New Jersey, Geneva, and Tokyo before returning to Harvard for his MD (magna cum laude). While a medical student, he worked as a full-time research scientist at the Institute for Health Metrics and Evaluation at the University of Washington, supported by the Bill & Melinda Gates Foundation. He completed his clinical residency in emergency medicine at the Brigham & Women's, Massachusetts General, and Boston Children’s Hospitals.
Finkelstein A, Einav L, Mullainathan S, Obermeyer Z. Predictive modeling of US healthcare spending in late life. Science. 2018 Jun 29;360(6396):1462-1465.
Obermeyer Z, Samra JK, Mullainathan S. Individuals’ body temperatures vary meaningfully and predict mortality. BMJ. 2017 Dec 13;359: 5468.
Obermeyer Z, Lee TH. Lost in Thought—The limits of the human mind and the future of medicine. NEJM. 2017 Sep 27;377(13):1209-11.
Mullainathan S, Obermeyer Z. Does Machine Learning Automate Moral Hazard and Error? AER: P&P. 2017 May; 107(5):476-480.
Obermeyer Z, Cohn B, Wilson M, Jena AB, Cutler DM. Early death after discharge from emergency departments: analysis of national US insurance claims data. BMJ. 2017 Feb 1;356: 239.
Obermeyer Z, Emanuel E. Predicting the Future: Big Data, Machine Learning, and the Future of Clinical Medicine. NEJM. 2016 Sep 29;375(13):1216-9. 10.
Kleinberg J, Ludwig J, Mullainathan S, Obermeyer Z. Prediction Policy Problems. AER: P&P. 2015 May; 105(5): 491–495.