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. My research explores the intersection of economics and computer science, focusing on developing robust mathematical models to illuminate complex phenomena and designing innovative algorithms to facilitate informed decision-making. Currently, I am working with Hongyao Ma on pricing problems in ride-sharing markets.

I earned my Bachelor’s degree in Computer Science from Institute for Interdisciplinary Information Sciences (Yao Class) at Tsinghua University. During my undergraduate studies, I spent a summer at the University of Michigan, where I worked with Grant Schoenebeck on mechanism design; I also spent six months at Caltech, collaborating with Adam Wierman on online optimization research.

My name in International Phonetic Alphabet (IPA): YU [y˧˥] Chen [tʂʰən˧˥] Kai [kʰaɪ˨˩˧]. “Yu” sounds like the French “u”.

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

    Columbia University

  • BEng in Computer Science, 2021

    Tsinghua University

Recent Publications

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(2022). Competitive Control with Delayed Imperfect Information. ACC 2022.

PDF Poster

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

PDF

(2021). Price Cycles in Ridesharing Platforms.

PDF

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

PDF Video

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

PDF Video blog post

Contact

  • cyu26 (at) gsb.columbia.edu