Mengmeng Li

Hi! I am a PhD student at EPFL, where I am fortunate to be advised by Prof. Daniel Kuhn. Prior to my doctoral journey, I received an M.Sc. degree in Mathematics from EPFL in 2021 and a B.Sc. degree in Honors Mathematics from NYU Shanghai in 2019.
My research focuses on developing statistically and computationally efficient methods for sequential decision making, inspired by applications in finance and healthcare.
📧 mengmeng.li@epfl.ch
📡 Risk Analytics and Optimization Chair, EPFL, Switzerland
news
Mar 2025 | Our paper “Towards Optimal Offline Reinforcement Learning” is available online. |
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