Jiangze (Jay) Han

I am an Assistant Professor at the Department of Decisions, Operations and Technology of the CUHK Business School. 

Previously, I was a Postdoctoral Research Scientist at Columbia University, jointly affiliated with the Department of Industrial Engineering and Operations Research and Columbia Business School, where I worked with Vineet Goyal and Will Ma.

I obtained my Ph.D. in Management Science at the Sauder School of Business, University of British Columbia. I was fortunate to be advised by Christopher Thomas Ryan, Tim Huh and Mahesh Nagarajan. 

My research interests lie at the intersection of optimization and service operations management.

Publications

1. Optimizing for strategy diversity in the design of video games, with Oussama Hanguir, Will Ma, and Christopher Thomas Ryan. Mathematical Programming. 2025 Mar;210(1):335-76. [Springer]

2. Algorithms for loot box design, with Christopher Thomas Ryan and Xin T. Tong. Operations Research. 2026 May; 74(3):1321-1338. [INFORMS] [SSRN]

3. An adaptive high order method for finding third-order critical points of nonconvex optimization, with Xihua Zhu and Bo Jiang. Journal of Global Optimization. 2022 Oct;84(2):369-392. [Springer]

4. The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies, with Fuxi AI lab and Xin Tong. Companion Proceedings of the ACM Web Conference 2024, 443-452. [ACM]

5. Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling, with Fuxi AI lab and Xin Tong. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2. 2025. [ACM]

Working papers

1. Contextual group design in online services, with Mahesh Nagarajan, Christopher Thomas Ryan and Xin T. Tong. Major revision in Manufacturing & Service Operations Management. [PDF][SSRN]

2. Which pairs to compare for LLM post-training, with Vineet Goyal and Will Ma. [ArXive]

Conference Presentations

• Which pairs to compare for LLM post-training

  • INFORMS Annual Meeting, San Francisco, USA, November, 2026;

    • Session: OR for LLM post-training, November 3, 11:00am - 12:30pm.

• Probabilistic design in the operation of service systems

  • Young Researchers Workshop, Cornell University, Ithaca, USA, October 9-11, 2024;

  • INFORMS Annual Meeting, Seattle, USA, October, 2024;

  • OM Rookiepalooza, Kellogg School of Management, Northwestern University, Evanston, USA, October 28-29, 2024;

  • Chinese University of Hong Kong, Hong Kong, China, December 4th, 2024;

  • City University of Hong Kong, Hong Kong, China, December 11th, 2024;

  • INFORMS Applied Probability Society Conference 2025, Atlanta, USA, June 30th to July 3rd, 2025;

  • INFORMS Annual Meeting, Atlanta, USA, October, 2025;

• Algorithms for loot box design

  • MSOM Conference, Montreal, Canada, June 2023; 

  • INFORMS Annual Meeting, Phoenix, USA, October 2023.

Teaching

• Instructor, CUHK Business School

  • DOTE 2030 - Operations Management (Fall 2026)

• Instructor, UBC Sauder School of Business

  • COMM 204 - Logistics and Operations Management (Summer 2023)

    • Teaching Evaluation: 4.95/5.0 [PDF]

    • Core course of Bachelor of Commerce program

    • Introductory course for undergraduate students in the Bachelor of Commerce program. The course introduce the philosophy of operations management and covers classical topics, including process analysis, project management, queueing theory, forecasting, inventory management and supply chain management. 

  • COMM 204 - Logistics and Operations Management (Winter 2024/2025)

    • Teaching Evaluation: 4.8/5.0

• Teaching assistant, UBC Sauder School of Business

  • COMM 612 Infinite-dimensional Optimization, Ph.D. course (Spring 2022)

  • BASC 550 Operations and Supply Chain Management, International MBA core course (Winter 2022)

  • BASC 550 Operations and Supply Chain Management, International MBA core course (Summer 2023)

  • COMM 204 Logistics and Operations Management (Summer 2023)

  • COMM 414 Data Visualization and Business Analytics  (Winter 2024/2025)