Cong Shi

Cong Shi 

Cong Shi
Associate Professor
Department of Industrial & Operations Engineering
University of Michigan at Ann Arbor
E-mail: shicong-at-umich-dot-edu


Regular Courses

  • 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: 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

  • Jingwen Tang, 2019-

  • Yaohui Guo (co-advised with Prof. Jessie Yang), 2019-

  • Shreyas Bhat (co-advised with Prof. Jessie Yang), 2020-

  • Chenfei Li (co-advised with Prof. Jessie Yang), 2022-

Selected Awards

Selected Awards (won by students)

Editorial Appointment

  • Associate Editor, Management Science, 2021–

  • Senior Editor, Production and Operations Management, 2019–

  • Associate Editor, Naval Research Logistics, 2022–

  • Associate Editor, IISE Transactions, 2017–

  • Associate Editor, Operations Research Letters, 2015–

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