CV
Education
- Ph.D in Statistics, Cornell University, 2022
- M.S. in Statistics, Cornell University, 2020
- M.S. in Probability and Mathematical Statistics, Shandong University, 2017
- B.S. in Statistics, Shandong University, 2014
Work experience
- Assistant Professor. 08/2026 – present
- Department of Industrial and Enterprise Systems Engineering, University of Illinois Urbana-Champaign.
- Principal researcher. 06/2024 – 08/2026
- University of Chicago, Booth School of Business. Full-time.
- Applied Scientist. 08/2022 – 05/2024
- Amazon.com. Full-time.
- Applied Scientist. 06/2021 – 08/2021
- Amazon.com. Intern.
Publications and Preprints
Baris Ata and Yaosheng Xu. Dynamic Control of a Stochastic Matching System in Heavy Traffic: An Effective Computational Method for High-Dimensional Problems. Under review. Link
Yaosheng Xu. Explicit Steady-State Approximations for Parallel Server Systems with Heterogeneous Servers. Under review. Link
J.G. Dai, Peter Glynn and Yaosheng Xu. Multi-scale heavy traffic steady-state convergence in generalized Jackson network. Operations Research 74(4):2231-2248, 2026. Link
Jin Guang, Yaosheng Xu, and J. G. Dai. Steady-State Convergence of the Continuous-Time Routing System with General Distributions in Heavy Traffic. ACM Sigmetrics 2025. 9(1): 1–29. Link
J.G. Dai, Jin Guang and Yaosheng Xu. Steady-State Convergence of the Continuous-Time JSQ System with General Distributions in Heavy Traffic. Workshop on MAthematical performance Modeling and Analysis (MAMA) of ACM Sigmetrics 2024. Link
Xin Bing, Yang Ning and Yaosheng Xu. Adaptive estimation of multivariate regression with hidden variables. Annals of Statistics, 50(2): 640–672, 2022. Link
Mondher Bellalah, Yaosheng Xu, Detao Zhang. Intertemporal optimal portfolio choice based on labor income within shadow costs of incomplete information and short sales. Annals of Operations Research, 281: 397–422, 2019. Link
J.G. Dai, Mark Gluzman, Alyf Janmohamed, Yaosheng Xu. How Many COVID-19 Patients Will Need Ventilators Tomorrow? medRxiv, covidvent.github.io. Link
Work in progress
- Baris Ata and Yaosheng Xu. Dynamic Dispatch and Relocation Control for Ride-Hailing Systems Incorporating Travel Times.
Talks
- INFORMS Annual meeting. Atlanta, GA. October 25-29, 2025.
- INFORMS APS Conference. Atlanta, GA. June 30- July 3, 2025.
- INFORMS Annual meeting. Seattle, WA. October 20-23, 2024.
- INFORMS Annual meeting. Anaheim, CA. October 24-27, 2021.
- Fields-China Joint Industrial Problem Solving Workshop in Finance. Toronto, ON. May 8-12, 2017.
Research Interests and Skills
- Operations Research
- Stochastic Modeling and Control, Dynamic Matching, AI-driven Diffusion Control, Stochastic Processing Networks, Queueing Theory, Multi-Scale Heavy Traffic, Load-Balancing Systems, LLM Inference.
- Statistics and Data Science
- High-Dimensional Statistics, Multivariate Analysis, Causal Inference, Model Selection and Regularization, Experimental Design.
- Programming Languages
- Python, C++, R, Matlab
Teaching
Teaching Assistant, Cornell University
- STSCI/BTRY 3080: Probability Models and Inference
- ORIE 3510/5510: Introduction to Engineering Stochastic Processes
- STSCI 4740: Data Mining and Machine Learning
- BTRY 6020: Statistical Methods
- STSCI 2150: Introductory Statistics for Biology