I am currently a postdoctoral fellow in the Department of Decisions, Operations and Technology at Chinese University of Hong Kong, collaborating with Prof. Xiting Gong. I received a PhD degree in Operations Research from Tsinghua University and a BS degree in Mathematics and Applied Mathematics from Huazhong University of Science and Technology.

My research interests lie broadly in data-driven learning and optimization, and asymptotic analysis, with a particular emphasis on the application of these methods in the field of inventory and revenue management.

You can find my CV here: Shilin Yuan’s Curriculum Vitae.

Email: shilinyuan-research@outlook.com

Recent Talks

• TO BE DECIDED.

News

• Mar. 2026, our paper “Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random Supplies” got accepted by Management Science.
• Sep. 2025, our paper “Learning When to Restart: Nonstationary Newsvendor from Uncensored to Censored Demand” is online.
• Aug. 2024, our paper “A Minibatch-SGD-based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy” got accepted by Management Science.
• July. 2024, our paper “Closing the Gaps: Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems” is online.