About me

I am a fourth-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 have obtained an MS degree in Computer Science and Statistics during my Ph.D. study. I received my B.Sc. in Mathematics from Chinese University of Hong Kong, with double stream in Computational Applied Mathematics (CAM) and Enrichment Mathematics. My academic advisor was Prof. Ronald Lok Ming Lui. I was also an exchange student at University of Pennsylvania. I was an intern at 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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