I am an Assistant Professor in the
School of Operations Research and Information Engineering at Cornell University.
Prior to Cornell, I was a postdoctoral researcher in the
Department of Statistics and Data Science at the Wharton School, University of Pennsylvania.
I received my Ph.D. in 2023 from the
Department of Statistics at Stanford University, advised by Professor
Andrea Montanari. I received my Bachelor's degree in mathematics from
Tsinghua University.
My research focuses on establishing rigorous foundations for statistical and machine learning methods, while also developing new algorithms guided by theoretical insights. Specifically, I have been working on:
- Analyzing and developing sampling algorithms with applications to Bayesian statistics and diffusion models
- Computational–statistical tradeoffs in high-dimensional statistical settings
- Mechanism design under misaligned incentives and information asymmetry
- Learning from machine-generated data
Here is my
Google Scholar page and
CV.
Open to research discussions, feel free to reach out!