Jinzhi Bu is an Assistant Professor in the Department of Logistics and Maritime Studies at The Hong Kong Polytechnic University since August 2021. Before joining PolyU, she was a postdoctoral associate in Institute for Data, Systems, and Society at Massachusetts Institute of Technology from August 2019 to July 2021. Jinzhi obtained her Ph.D. degree from The Chinese University of Hong Kong in 2019, and B.S. degree from Nanjing University in 2015. 

Research Interests

Methodology: Statistical and Machine Learning, Data-Driven and Approximation Algorithm, Asymptotic Analysis

Application: Operations Management, Supply Chain Management and Inventory Control, Revenue Management and Dynamic Pricing

Publications

• "Asymptotic Scaling of Optimal Cost and Asymptotic Optimality of Base-Stock Policy in Several Multi-Dimensional Inventory Systems" with Xiting Gong and Xiuli Chao, forthcoming at Operations Research.

• "Asymptotic Optimality of Base-Stock Policies for Perishable Inventory Systems," with Xiting Gong and Xiuli Chao, Management Science, 69(2): 846-864, 2023.

• "Offline Pricing and Demand Learning with Censored Data," with David Simchi-Levi and Li Wang, Management Science, 69(2): 885-903, 2023.

• "Online Pricing with Offline Data: Phase Transition and Inverse Square Law​," with David Simchi-Levi and Yunzong Xu, Management Science, 68(12): 8568-8588, 2022.

  • Preliminary version appeared in ICML 2020

  • Winner, Best Paper (Theoretical Track) for 2020 INFORMS Workshop on Data Mining and Decision Analytics

• "Constant-Order Policies for Lost-Sales Inventory Models with Random Supply Functions: Asymptotics and Heuristic," with Xiting Gong and Dacheng Yao, Operations Research, 68(4): 1063-1073, 2020.

  • Honorable Mention in POMS-HK Best Student Paper Competition, January 2018