About me

I’m a PhD student at the Department of Statistics and Data Science, Wharton School of Business. Mathematically, I am broadly interested in (applied) harmonic analysis (especially its connection with kernel method in machine learning) and probability theory (especially its application in graph-based problems). Statistically, my research centers on several interconnected themes, spanning statistical theory and methodology.

I work on methodological and theoretical problems in high-dimensional inference and its interaction with causal inference, conditional independence testing, distribution-free nonparametric testing, and computational statistics. I am fortunate to work with Prof. Bhaswar B. Bhattacharya and Eugene Katsevich on distribution-free nonparametric testing and conditional independent testing problems during my master. I was supervised by Dr. Wei Li and Yuwen Gu for my undergraduate thesis. I was lucky to have Dr. François-Xavier Briol as my research supervisor when I was an exchange student at UCL. My statistics research journey started during my visit to Prof. Yi Yang when I was a sophomore student.

In addition to research, I’m passionate about teaching and mentoring since I am deeply grateful for and benefit from the supervisors I have met, who have taught me far beyond just statistics. I have been a mentor for Undergraduate Research in Probability and Statistics and Directed Reading Program at UPenn.