About me
I am an Assistant Professor in the Statistics Department at UC Berkeley. My research aims at understanding causal relationships using large administrative datasets from the medical and social sciences. I develop new ways to form compelling matched or weighted comparison groups in these datasets using tools from optimization. I also study methods for transparent and interpretable inference about causal effects when unobserved confounding variables may be present. I am broadly interested in substantive problems relating to people and institutions, and my methodological work is motivated by collaborations to address such problems in health services research, epidemiology, and education.
