In my research I combine approaches from Econometrics, Machine Learning, and High-dimensional Statistics to devise performant and theoretically sound methods for computation, estimation, and decision-making in structured, high-dimensional, dynamic environments, with applications to macroeconomics and causal inference.
I love helping people with their econometric questions, and host weekly econometrics office hours, open to anyone in the world, currently Wed 10-12am Central European Summer Time (GMT+2) each week or by appointment: details and signup.
PhD in Economics, 2016
Yale University
I taught the following classes at Bowdoin:
I taught the following classes at Carnegie Mellon: