I am a Professor at the University of Chicago, Booth School of Business. I use principles from Learning and Statistics to understand models and data.
Some topics I currently work on include experimental design, distribution shifts, and applied artificial intelligence in business.
My research is supported by the NSF CAREER grant and the William Ladany faculty fellowship. My current research aims to:
- bridge the empirical and theoretical gap in modern statistical learning;
- understand optimization and inference of infinite-dimensional models;
- explore the role of stochasticity in solving non-convex optimization.
- Statistical Inference
- Statistical Learning
- Stochastic Optimization
- AI $\cap$ Econ.
University of Pennsylvania, The Wharton School
PhD in Statistics
BSc in Mathematics