I am a PhD student in Statistics and Econometrics at University of Chicago, advised by Prof. Mladen Kolar. My research interests lie in the intersection of statistics, optimization and machine learning. More specifically, my recent research topics include distributed/federated learning, probabilistic graphical models, stochastic optimization and functional data analysis, with a focus on developing novel methodologies with both practical applications and theoretical guarantees.
- Distributed/Federated Learning
- Graphical Models
- Stochastic Optimization
- Functional Data Analysis