About me

I am a final-year Ph.D. candidate in Statistics at Purdue University, where I am fortunate to be coadvised by Prof. Qifan Song and Prof. Jean Honorio. I received an M.S. in Computer Science and Statistics during my Ph.D. study. I received an B.Sc. in Mathematics at the Chinese University of Hong Kong. I have interned at several industrial companies including Meta AI, Amazon Ads, and Sensetime Research.

My research interests include:

  • Optimization Theory
  • Bandit Algorithms
  • Federated Learning
  • High Dimensional Statistics
  • Deep Learning Theory and Practice

I am actively building and maintaining an open-source Python library for X-armed bandit algorithms and benchmarks. Check out this repository.

Research collaborations from both industry and academia are highly welcomed. If you are interested in optimization/bandit/federated learning-related topics, feel free to reach out to me.

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