Associate Professor, Herbert Business School, University of Miami, 2023 - Present
Associate Professor, Industrial & Operations Engineering, University of Michigan at Ann Arbor, 2019 - 2023
Assistant Professor, Industrial & Operations Engineering, University of Michigan at Ann Arbor, 2012 - 2019
Editorial Appointment
Associate Editor, Operations Research, 2024–
Associate Editor, Management Science, 2021–
Associate Editor, Manufacturing & Service Operations Management, 2024–
Senior Editor, Production and Operations Management, 2019–
Associate Editor, Naval Research Logistics, 2022–
Associate Editor, IISE Transactions, 2017–
Associate Editor, Operations Research Letters, 2015–
Regular Courses
MAS691 Applied Reinforcement Learning
MAS311 Applied Probability and Statistics
IOE541/IOE591 Optimization Methods in Supply Chain
IOE516 Stochastic Processes II
IOE265/STAT265 Probability and Statistics for Engineers
IOE202 Operations Modeling
PhD Students
Huanan Zhang (co-advised with Prof. Xiuli Chao), 2012–2017
Dissertation: Data-Driven Algorithms for Stochastic Supply Chain Systems: Approximation and Online Learning
First Position: Assistant Professor, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Penn State University
Current Position: Assistant Professor, Leeds School of Business, University of Colorado Boulder
Yuchen Jiang (co-advised with Prof. Siqian Shen), 2013–2018
Dissertation: Supply Chain and Revenue Management for Online Retailing
First Position: Data Scientist, Uber, San Francisco, CA
Current Position: Sr. Machine Learning Engineer, Robinhood, San Francisco, CA
Weidong Chen (co-advised with Prof. Izak Duenyas), 2014–2019
Dissertation: Online Learning Algorithms for Stochastic Inventory and Queueing Systems
First Position: Data Scientist, Gap, San Francisco, CA
Current Position: Sr. Data Scientist, Amazon, Seattle, WA
Hao Yuan, 2015–2019
Dissertation: Data Driven Optimization: Theory and Applications in Supply Chain Systems
First Position: Applied Scientist, Amazon, Seattle, WA
Current Position: Machine Learning Engineer, Facebook, San Francisco, CA
Armando Bernal, 2016–2020
Dissertation: Pricing in Network Revenue Management Systems with Reusable Resources
First Position: Data Scientist, Amobee, Baltimore, MD
Esmaeil Keyvanshokooh (co-advised with Prof. Mark P. Van Oyen), 2015- 2020
Dissertation: Personalized Data-Driven Learning and Optimization
First Position: Assistant Professor, Mays Business School, Texas A&M University
Huiwen Jia (co-advised with Prof. Siqian Shen), 2018- 2022
Dissertation: Adaptive Optimization and Learning for Service Systems
First Position: Applied Scientist, Amazon, Seattle, WA
Current Position: (Incoming) Assistant Professor, Industrial Engineering & Operations Research, UC Berkeley
Jingwen Tang, 2019-2024
Dissertation: Online and Offline Learning Algorithms in Operations Management
First Position: (Incoming) Assistant Professor, Management, Herbert Business School, University of Miami
Yaohui Guo (co-advised with Prof. Jessie Yang), 2019-
Shreyas Bhat (co-advised with Prof. Jessie Yang), 2020-