I am a PhD candidate in economics at Harvard University, working in theoretical and applied econometrics. My research asks how to draw reliable conclusions when models are imperfect and estimates are noisy, with recent work on shrinkage, model averaging, and inference under misspecification. My graduate work is supported by an NSF Graduate Research Fellowship.
Before the PhD, I spent two years as a pre-doctoral fellow at Opportunity Insights, working with large administrative datasets on economic mobility. I studied statistics and economics at the University of Chicago.