Qingyuan Xu
Qingyuan Xu Ching-Yoo-an SHYOO

Ph.D. Candidate in Operations Research

About Me

I am a second-year Ph.D. student in the Department of Industrial and Operations Engineering at the University of Michigan, where I am advised by Professor Ruiwei Jiang. Previously, I received a B.S. in Mathematics and Physics and a B.E. in Industrial Engineering from Tsinghua University in 2024.

My research interests include stochastic and robust optimization, integer programming, and data-driven decision-making. I aim to advance the theory and methods of optimization under imperfect information by leveraging structured uncertainty, thereby delivering reliable and responsible solutions for complex real-world systems.

Recent & Upcoming Talks
Recent Publications
(2026). Robust Contextual Optimization with Missing Covariates. Preliminary version appeared at International Conference on Machine Learning (ICML) (Oral Presentation, <0.7% ).