Bio and CV

I am a health economist and an Assistant Professor of Health Policy and Management at the Columbia University Mailman School of Public Health. My research interests lie broadly in the fields of health economics and policy, behavioral economics, and applied econometrics.

Much of my applied research relies on the use of large-scale data, including electronic health records and insurance claims, to study decision-making by physicians, and has been featured in the New England Journal of Medicine and in popular press outlets including the New York Times, Reuters, and STAT. My research in econometrics primarily focuses on the use of regression models and machine learning algorithms to improve the precision of treatment effect estimates in experimental and quasi-experimental studies.

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I currently teach my department's health economics and computing (Python) courses, and previously served as a statistics teaching fellow at the Harvard Kennedy School of Government.

Prior to joining the Columbia University faculty, I received my PhD in Public Policy from Harvard University after working as a Research Associate at the University of Chicago, where I also received my master’s degree in public policy. A Los Angeles-area native, I received my bachelor's degree in economics and history from UCLA.

My most recent CV can be found here.