Jierui Zuo

Incoming Information Systems PhD Student | AI and Sequential Decision-Making

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April 5th, 2026 at Mutianyu section of the Great Wall, Beijing

I am an senior undergraduate student at Department of Management Science and Engineering at Tsinghua University. And I will join University of Washington as a PhD student in Information Systems this fall.

I am working at the intersection of AI, learning, and decision-making. My work spans sequential decision-making, bandits, stochastic systems, and intelligent decision support, with a focus on building rigorous methods that connect theory with emerging AI systems.

More broadly, I am interested in bridging mathematically grounded research with practical questions in intelligent systems, business, operations, and human-AI collaboration.

During my undergraduate study, I worked with Prof. Hanzhang Qin and Prof Ruihao Zhu on Multi-arm Bandits. And I worked on Experiment Design for Online Scheduling with Prof. Jinglong Zhao and Prof. Zijie Zhou. I also worked closely with Prof. Bo Li.

news

Jan 15, 2026 Jan 2026 — Gave an invited talk on Experimental Design for Online Scheduling at POMS-HK International Conference 2026.
Oct 20, 2025 Oct 2025 — Gave an invited talk on Experimental Design for Online Scheduling at the INFORMS Annual Meeting 2025.
Jan 20, 2025 Jan 2025 — Paper “On Pareto Optimality for the Multinomial Logistic Bandit” was posted on arXiv.
Dec 15, 2024 Sep–Dec 2024 — Participated in an exchange program in Mathematics and Operations Research at McGill University.

selected publications

  1. On (Approximate) Pareto Optimality for the Multinomial Logistic Bandit
    Jierui Zuo and Hanzhang Qin
    arXiv preprint, 2025