About me

I am an Applied Scientist at Amazon. I obtained my Ph.D. in Statistics at Purdue University, where I was fortunate to be coadvised by Prof. Qifan Song and Prof. Jean Honorio. I also received an M.S. in Computer Science and Statistics during my Ph.D. study. I received a B.Sc. in Mathematics from the Chinese University of Hong Kong. I have interned at several 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

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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