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I am a PhD candidate in the Department of Statistics at the University of Chicago, advised by Professor Wei Biao Wu. I also received my master’s degree from the same department. Before coming to Chicago, I earned my bachelor’s degree from the School of Mathematical Sciences at Fudan University, where I was advised by Professor Shuqin Zhang. In the summer of 2019, I was a research intern at Harvard University, working with Professor Junwei Lu.

My research focuses on stochastic optimization, quantile regression, and modern machine learning. I am particularly interested in the theoretical foundations and methodology of uncertainty quantification for online learning and optimization algorithms. I also collaborate on problems in causal inference and single-cell clustering.

I am on the 2026–2027 job market.