I am a PhD candidate at the University of Chicago Booth School of Business. I study applied and theoretical econometrics. My research has chiefly been in the areas of machine learning methods in economic applications, causal inference in comparative case studies, weak identification, and semiparametric models. My most recent research has studied the use of unsupervised learning methods in forming clustering structures used in problems involving estimation and inference of causal effects.
I’ll be joining Northeastern University as an Assistant Professor of Economics this coming fall.