Yan DAI (戴言)
Hi! I am a third-year PhD student at Operations Research Center (ORC), MIT where I am fortunate to be co-advised by Patrick Jaillet and Negin Golrezaei. In Summer 2026, I was a research intern at Microsoft Research EconCS, mentored by Alex Slivkins and Brendan Lucier; I also worked closely with Nicole Immorlica.
I obtained my Bachelor’s degree from Yao Class, Tsinghua in 2024. I am extremely grateful to Longbo Huang, Haipeng Luo, Simon S. Du, and Suvrit Sra who introduced me to the world of learning theory.
My research focuses on the intersection of Economics and Computer Science (EconCS), specifically tackling strategic behaviors in economic systems via online learning tools. I’m also broadly interested in Learning Theory: bandits, online learning, reinforcement learning theory, and deep learning theory.
Recent News
- Feb 2026Named as a Runner-Up of the Two Sigma PhD Fellowship (2 winners and 2 runners-up).
- Jun 2025Adversarial Network Optimization under Bandit Feedback won Best Paper Award at ACM SIGMETRICS 2025!
- Jun 2025Incentive-Aware Dynamic Resource Allocation under Constraints won 1st Place in ACM Student Research Competition (SRC) held at SIGMETRICS 2025!
- Jun 2024Awarded Outstanding Graduate by Beijing, by Tsinghua, and by Yao Class.
- Nov 2023Awarded Presidential Scholarship (10 undergrads per year) by Tsinghua!
- Sep 2023Awarded "Andrew C. Yao Award" Gold Medal (1 per year) by Yao Class!
Professional Services
Journal Reviewer:
- Operations Research: Operations Research; Games and Economic Behavior (GEB);
- Machine Learning: Journal of Machine Learning Research (JMLR), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Machine Learning, Transactions on Machine Learning Research (TMLR);
- Networking & Systems: IEEE/ACM Transactions on Networking (TON), Performance Evaluation (PEVA), IEEE Internet of Things Journal (IoT-J).
Conference Reviewer: COLT 2025, ICML 2026 (Gold reviewer) / 2025 / 2023, NeurIPS 2026 / 2025 / 2024 / 2023 / 2022, ICLR 2027 / 2025 / 2024, AISTATS 2026 / 2025 / 2023 / 2022, AAAI 2027 / 2026, ALT 2023.