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!