I am an assistant professor at Cornell University, in the department of statistics and data science. Previously I spent the Fall 2021 semester at the Simons Institute for the Theory of Computing, UC Berkeley on a Simons-Berkeley research fellowship. Before that I was a postdoc at the Fuqua school of Business, Duke University, working with Prof. Jiaming Xu. I received my PhD degree in 2019 from the department of statistics and data science at Yale University. At Yale I was co-advised by Prof. David Pollard, Prof. Yihong Wu, and Prof. John Lafferty.
I have a fairly eclectic collection of research interests and enjoy exploring new research directions. My PhD thesis “A few topics in statistics” is available here.
- frequentists’ justification of Bayesian procedures
- rapid mixing of Markov chains
- recovery of hidden structures from random networks
- fairness in machine learning
- analysis of aggregation estimators
- convergence guarantee of the EM algorithm
- shape-constrained nonparametric estimation
- private sequential learning