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.
📧 [email protected]
📡 Risk Analytics and Optimization Lab, EPFL, Switzerland
updates
| 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. |
We are but whirlpools in a river of ever-flowing water.
— Norbert Wiener
