I study questions in medicine and health policy using econometric methods and machine learning tools.
I’m currently an Associate Professor at the Berkeley School of Public Health. I teach a seminar on machine learning for health policy PhD students, and a new undergraduate class on artificial intelligence for medicine and health policy (syllabus here).
Before coming to Berkeley, I was an Assistant Professor at Harvard Medical School, where I received the Early Independence Award, the National Institutes of Health’s award for exceptional junior scientists. 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]. I also worked at IHME in Seattle while in medical school, where a lifelong obsession with espresso began.