Cong Shi

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

Education

• Ph.D. in Operations Research, 2012, Massachusetts Institute of Technology, Cambridge, MA. Thesis Advisor: Professor Retsef Levi

• B.Sc. in Mathematics (First Class Honors), 2007, National University of Singapore, Singapore.

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

• Amazon Research Award, 2021.

• Finalist, INFORMS MSOM Data Driven Research Challenge, 2018.

• Third Place, INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, 2017.

• First Place, INFORMS George Nicholson Student Paper Competition, 2009.

• IOE Graduate Course Professor of the Year, University of Michigan, 2019.

• CoE Vulcans Education Excellence Award, University of Michigan, 2019.

• INFORMS Management Science Meritorious Service Award, 2018, 2019, 2021.

Selected Awards (won by students)

• Finalist, POMS College of Healthcare Operations Management (CHOM) Best Paper Competition, 2022 (student entrant: Esmaeil Keyvanshokooh).

• Finalist, INFORMS Manufacturing & Service Operations Management (MSOM) Best Student Paper Competition, 2021 (student entrant: Esmaeil Keyvanshokooh).

• Finalist, INFORMS Health Applications Society (HAS) Best Student Paper Competition, 2021 (student entrant: Esmaeil Keyvanshokooh).

• Second Place, INFORMS Decision Analysis Society (DAS) Best Student Paper Competition, 2020 (student entrant: Esmaeil Keyvanshokooh).

• Finalist, INFORMS Applied Probability Society (APS) Best Student Paper Competition, 2019 (student entrant: Hao Yuan).

• Finalist, INFORMS Undergraduate Operations Research Prize, 2015 (student entrant: Chao Qin).

• Finalist, INFORMS Undergraduate Operations Research Prize, 2014 (student entrant: Chao Qin, Cheng Hua).

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–