
Assistant Professor
School of Data Science, CUHK–Shenzhen
chenyilun at cuhk dot edu dot cn
322b Daoyuan Building
Google Scholar
I am an Assistant Professor in the School of Data Science at the Chinese University of Hong kong, Shenzhen. I received my Ph.D. degree in Operations Research from Cornell in 2021, advised by David A. Goldberg . I hold a B.S. in Mathematics from Yuanpei College, Peking University (2014). Before joining CUHK-Shenzhen, I spent 2021-2022 as a postdoctoral researcher at Columbia Business School, working with Yash Kanoria .
I study how algorithms learn, optimize, and interact within complex operational environments. One line of my research develops efficient and provably near-optimal algorithms for sequential decision-making under uncertainty, spanning problems like optimal stopping, online resource allocation and dynamic matching.
More recently, I have become interested in algorithmic interventions in interactive settings such as online marketplaces or service platforms. My works design novel mechanisms that internalize reactive feedback from platform participants to achieve system-wide efficiency, and shed light on the (often unintended) consequences of algorithmic adaptivity once deployed.
- INFORMS Junior Faculty Interest Group (JFIG) Best Paper Award, 2024
- Chinese Scholars Association for Management Science and Engineering (CSAMSE) Best Paper Award, 2024
- INFORMS RMP Jeff McGill Student Paper Award (awarded to Akshit Kumar), 2024
- INFORMS George Nicholson Student Paper Competition, First Place, 2019