About me

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.

Research interests

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