I am a fourth-year Ph.D. student in Operations Management at Booth School of Business, University of Chicago. I am fortunate to be co-advised by Prof. Linwei Xin and Prof. Will Ma. Previously, I received a B.S. in Applied Mathematics from Zhejiang University. My research focuses on sequential decision-making problems, particularly data-driven algorithms for supply chain management and resource allocation, and deep learning for practical applications. Email: yaqi.xie@chicagobooth.edu [CV]   [Google Scholar]

Research

• DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management [Poster]
  Yaqi Xie, Xinru Hao, Jiaxi Liu, Will Ma, Linwei Xin, Lei Cao, Yidong Zhang
  

  • Finalist for the INFORMS 2025 Daniel H. Wagner Prize

• VC Theory for Inventory Policies [Slides]
  Yaqi Xie, Will Ma, Linwei Xin
  Major Revision in Management Science
  

  • Finalist for the INFORMS 2025 APS Best Student Paper Prize

  • Selected for presentation in the MSOM 2024 Supply Chain Management SIG

• The Benefits of Delay to Online Decision-Making [Slides]
  Yaqi Xie, Will Ma, Linwei Xin
  Management Science, 2025
  

  • Selected for presentation in the MSOM 2023 Supply Chain Management SIG

  • Covered in Chicago Booth Review, 2023

• Dynamic Seat Selection Surcharge and Allocation Policy in Selling High-Speed Train Tickets
  Yaqi Xie, Zizhuo Wang
  Production and Operations Management, 2025
  

Teaching

Booth School of Business, Teaching Assistant:

• Operations Management (MBA), Winter 2025
  

• Supply Chain Management (Undergraduate), Winter 2025
  

• Linear Programming (Ph.D.), Fall 2023