Yaosheng Xu
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Education
- Ph.D. in Statistics, Cornell University, 2022
- M.S. in Probability and Mathematical Statistics, Shandong University, 2017
- B.S. in Statistics, Shandong University, 2014
Academic Positions
- Assistant Professor, Industrial and Enterprise Systems Engineering, University of Illinois Urbana-Champaign, 2026–Present
- Principal Researcher, Operations Management, Booth School of Business, University of Chicago, 2024–2026
Other Professional Employment
- Applied Scientist, Amazon, 2022–2024
- Applied Scientist Intern, Amazon, 2021
Graduate Research Opportunities
I am looking for Ph.D. students interested in either of two broad areas:
- High-dimensional stochastic control, with a focus on stochastic modeling and deep-learning-based computational methods;
- Queueing theory and stochastic processing networks, with a focus on performance analysis in heavy-traffic regimes.
A strong mathematical background is a plus.
Research Interests
- Stochastic Modeling and High-Dimensional Dynamic Control
- Dynamic Matching and Service Systems
- Queueing Theory and Stochastic Processing Networks
- Heavy-Traffic Approximations
- High-Dimensional Statistics and Machine Learning