Mengmeng Li
Hi! I am a PhD student in Operations Research 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.
I develop statistically and computationally efficient methods for sequential decision making, inspired by applications in automation and logistics.
📧 [email protected]
📡 Risk Analytics and Optimization Lab, EPFL, Switzerland
updates
| Jan 2026 | Our paper on contextual combinatorial bandits is accepted to International Conference on Learning Representations (ICLR). |
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| Jan 2026 | I received the Mathematical Programming 2025 Meritorious Service Award. |
| Oct 2025 | I received the Best Teaching Assistant Award from the Management of Technology & Entrepreneurship Section at EPFL. |
| Sep 2025 | Our paper on policy gradient for non-rectangular robust MDPs is accepted to SIAM Journal on Optimization. |
| Aug 2025 | Our paper “Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits” is available online. |
| Jul 2025 | I am awarded Second Prize in Dupačová-Prékopa Best Student Paper in Stochastic Programming for our paper on offline reinforcement learning. |
We are but whirlpools in a river of ever-flowing water.
— Norbert Wiener