I am now a Postdoctoral Fellow in the Department of Statistics at Harvard University, under the supervision of Prof. Zheng (Tracy) Ke. I obtained my Ph.D. degree in Statistics at UC Davis, where I was fortunate to be co-advised by Prof. Krishna Balasubramanian and Prof. Wolfgang Polonik. Before coming to UC Davis, I received my Bachelor’s degree in Math at Fudan University, where I was advised by Prof. Lei Shi.

I am broadly interested in statistical problems arising in machine learning, deep learning and other applications. I am working on topics including:

• Geometric and topological statistics including graph-based statistics and topological data analysis (TDA).
• Network analysis
• Statistical learning including nonparametric statistics, kernel method and deep learning theories.

Recent News

• Our recent work Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators is now avaible on Arxiv! Taking ATE as an example, we provide a general framework for non-asymptotic statistical inference via a local geometric concept called `stabilization’.
• I joined the Department of Statistics, Harvard University, on September 1, 2024, as a Postdoctoral Fellow.