About me

I am a Visiting Assistant Professor at the Department of Mathematics and Statistics, University of Massachusetts Amherst. Previously I was a Postdoc Research Fellow in the area of Operations Management and Statistics at the Joseph L. Rotman School of Management, University of Toronto, under the supervision of Ningyuan Chen, Ming Hu and Sheng Liu. I received my PhD in applied math (AMSC) from the University of Maryland, College Park. I was fortunate to be advised by Ilya Ryzhov.

My research focuses on stochastic black-box models and uncertainty quantification. I look for new perspectives at the intersection of statistics and operations research.

Publications

Authors in alphabetical order.

  • Jialin Li, and Ilya Ryzhov, “Moderate deviations inequalities for Gaussian process regression.” Journal of Applied Probability 61(1): 172-197. link
    • This paper has been selected for inclusion in the February 2025 Applied Probability Collection on the topic of Gaussian processes. This collection features ten notable articles published by the Applied Probability Trust, showcasing cutting-edge developments in the field. I am grateful for this recognition.
  • Jialin Li, and Ilya Ryzhov, “Convergence rates of epsilon-greedy global optimization under radial basis function interpolation.” Stochastic Systems 13(1): 59-92. link

Working Papers

  • Jialin Li, Zihao Qu, Mengfan Xu, “Dynamic Balancing and Matchmaking in Competitive Live-Service Games.” Major Revision, Management Science. link
    • A short explanatory video can be found here for the key ideas of this paper.
  • Ningyuan Chen, Ming Hu, Jialin Li, and Sheng Liu, “Data privacy in pricing: Estimation bias and implications.” Resubmitted after Minor Revision, Manufacturing & Service Operations Management. link
    • A short explanatory video can be found here for a high-level, non-technical overview.
    • MSOM iFORM SIG Day Presentation 2026 (iFORM = the Interface of Finance, Operations and Risk Management; SIG = Special Interest Group)

Work in Progress

  • Coming up next: 🐔!
  • Furong Huang, Jialin Li, and Xuchen You, “Guaranteed simultaneous asymmetric tensor decomposition via alternating subspace iteration.” To be submitted within a finite period of time. link