Jeonghwan Lee
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Jeonghwan Lee

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Hi, I am a third-year Ph.D. student in the Department of Statistics at the University of Chicago. I am very fortunated to be advised by Professor Cong Ma. I am also closely working with Professor Frederic Koehler. My doctoral study is currently supported by Kwanjeong Educational Foundation.

I received my Bachelor's degree in Mathematical Sciences from KAIST on Feb. 2022 with honors (Summa Cum Laude and the KAIST Presidential Award).

E-mail: jhlee97 [@] uchicago [DOT] edu / mathljh0323 [@] gmail [DOT] com

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Research interest

My research interest lies at the span of high-dimensional probability and statistics, causal inference, and machine learning. In particular, I mainly work on the following topics:

  • Theory of statistics: high-dimensional and non-parametric statistics.

  • Causal inference with an emphasis on (non-asymptotic) theoretical viewpoints.

  • Machine learning theory: statistical foundations of reinforcement learning, optimization, and learning in games.

  • Probability theory: learning in the space of probability measures (e.g., sampling algorithms, diffusion models, and geometry of the space of probability measures).