
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 interactive settings such as online marketplaces or service platforms. My works design novel algorithms and 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