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

• Principal researcher. 06/2024 – present
  • 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 at Management Science. Link

• Yaosheng Xu. Explicit Steady-State Approximations for Parallel Server Systems with Heterogeneous Servers. Under review at Operations Research. Link

• J.G. Dai, Peter Glynn and Yaosheng Xu. Multi-scale heavy traffic steady-state convergence in generalized Jackson network. Operations Research, Minor Revision. 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 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 and Management
  • Stochastic Processing Networks, Dynamic Matching in High Dimensions, Stochastic Diffusion Control, Queueing Theory, Steady-State Performance Analysis, Multi-Scale Heavy Traffic, Load Balancing Systems.
• Statistics and Data Science
  • High-Dimensional Statistics, Multivariate Analysis, Causal Inference, Model Selection and Regularization, Experimental Design.
• Programming Languages
  • Python, C++, R, Matlab

Teaching

Supervised courses as Teaching Assistant at 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