Chenkai Yu

Chenkai Yu

PhD Student in Decision, Risk, and Operations

Columbia University

I am a PhD student in the Decision, Risk, and Operations (DRO) division at Columbia Business School. I enjoy building (sensible) mathematical models to explain existing phenomena and help decision-making. Currently, I am working with Hongyao Ma on pricing problems in ride-sharing markets.

I received my bachelor’s degree in computer science from Institute for Interdisciplinary Information Sciences (Yao Class) at Tsinghua University. During my undergraduate study, I spent six months at Caltech, where I worked with Adam Wierman on online optimization; I also spent a summer at University of Michigan, where I worked with Grant Schoenebeck on mechanism design.

My name in International Phonetic Alphabet (IPA): [tʂʰən˧˥ kʰaɪ˨˩˧ y˧˥]. “Yu” sounds like the French word “tu” without “t”.

  • Game Theory and Mechanism Design
  • Online Optimization
  • Theoretical Machine Learning
  • PhD in Decision, Risk, and Operations, 2026

    Columbia University

  • BEng in Computer Science, 2021

    Tsinghua University

Recent Publications

Quickly discover relevant content by filtering publications.
(2022). Competitive Control with Delayed Imperfect Information. ACC 2022.

PDF Poster

(2022). Robustness and Consistency in Linear Quadratic Control with Predictions. SIGMETRICS 2022.


(2021). Price Cycles in Ridesharing Platforms.


(2021). Timely Information from Prediction Markets. AAMAS 2021.

PDF Video

(2020). The Power of Predictions in Online Control. NeurIPS 2020.

PDF Video blog post


  • cyu26 (at)