I study questions in medicine and health policy using econometric methods and machine learning tools.
I am the Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the Berkeley School of Public Health. I teach classes on machine learning and health (syllabus for my new undergraduate class here).
Before Berkeley, I was an Assistant Professor at Harvard Medical School. I continue to practice emergency medicine, here.
I run a lab with Sendhil Mullainathan, which is joint between Berkeley and the University of Chicago. We hire 1-2 pre-doctoral fellows every year. Previous fellows have gone on to PhD programs (e.g., MIT computer science, MIT economics) and MD or MD/PhD programs (e.g., Harvard, Stanford). Please check the lab page for application details. We also work with a number of PhD students at Berkeley, Chicago, Stanford, and Harvard.
I worked at McKinsey for a year before medical school; this increasingly seems to be something I should not feel proud of (see here and here and here—soon this list will take over my whole page). I also worked at IHME in Seattle while in medical school, where a lifelong obsession with espresso began.
Bios of various lengths as well as a high resolution picture are here.