About Me

Hi, my name is Tianze Qu. I am a Ph.D. student in Industrial and Operations Engineering at University of Michigan–Ann Arbor since Fall 2025, where I am fortunate to be advised by Prof. Sushil Varma. My current research focuses on using tools from applied probability and optimization to study decision-making problems in dynamic stochastic systems, including pricing and admission control in queueing systems, with applications to online marketplaces and EV charging platforms.

Previously, I received my M.S. from University of Michigan (Dec 2024) and my B.S. in Mathematics from University of Macau (June 2023).

Research Interests

Methodologies: Applied Probability, Optimization, Queueing Theory, Online Algorithms and Combinatorial Methods, Game Theory, Reinforcement Learning
Problem Areas: Pricing, Matching, Resource Allocation
Applications: Online Platforms and Marketplaces, Electric Vehicle Charging

News

• May 6, 2026 — Passed the preliminary exam.
• March 13, 2026 — Our paper Efficiency-Reward Trade-Off in Queues with Dynamic Arrivals was accepted to ACM SIGMETRICS 2026.

Contact Information

Email: tianzequIGNORE_at_umich_dot_edu

Chess

I enjoy playing chess in my spare time. If you would like to play a game, you can find me on chess.com under the username tzqu. My peak ratings are 2228 in Blitz, 2297 in Rapid, and 2092 in Bullet.

“Every pawn is a potential queen.” — James Mason