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.
My research is supported by the NSF CAREER award 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
- Economic and Business Applications
PhD in Statistics
University of Pennsylvania, The Wharton School
BSc in Mathematics