QIN Hanzhang

Education

• PhD, Computational Science and Engineering, MIT, 2022
• MS, EECS & Transportation, MIT, 2018
• BS, Mathematics; BEng, Industrial Engineering, Tsinghua University, 2015

 Work Experience

• Postdoctoral Scientist, Supply Chain Optimization Technologies, Amazon NYC, 2022.7-2023.7

Research Interests

• Statistical Learning in Operations
• Supply Chain Management
• Transportation Systems

Selected Publications

• K. Ledvina, H. Qin, D. Simchi-Levi, Y. Wei. “A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility”, Operations Research (2022).
• H. Qin, D. Simchi-Levi, L. Wang. “Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models”, Management Science (2022).
• H. Qin, D. Simchi-Levi, R. Ferer, J. Mays, K. Merriam, M. Forrester, A. Hamrick. “Trading Safety Stock for Service Response Time in Inventory Positioning”, Production and Operations Management (2022).