Maxime Cohen

Maxime Cohen 

Maxime C. Cohen
Professor, McGill University
Scale AI Chair in Data Science for Retail
Co-Director, Retail Innovation Lab - The covenience store of the future operated by Couche Tard
Bensadoun Faculty Scholar
Associate Member, Electrical and Computer Engineering Department (by courtesy)
Member of CIRRELT
Scientific Advisor in AI and Data Science @ IVADO Labs
Associate Director for Strategy and Partnership @ Conflict Analytics Lab
Scientific Director @ MyOpenCourt.org
Advisor for startups: Turbodega, Intelligems, Laps, Leav, Cherre, Tote, Silverback.ai, Rebloc.io

New Book: "Demand Prediction in Retail - A Practical Guide to Leverage Data and Predictive Analytics," Springer Series in Supply Chain Management (launching Jan. 7, 2022)
Buy the book: Amazon.com, Amazon.ca, Amazon.fr, Springer, Barnes & Noble, Book Depository, Browns Books

                   

About

I am the Scale AI Chair Professor of Retail and Operations Management, co-director of the Retail Innovation Lab, and a Bensadoun Faculty Scholar at McGill University. I am also a Scientific Advisor in AI and Data Science at IVADO Labs and a Scientific Director at the non-profit MyOpenCourt.org. Before joining McGill, I was an Assistant Professor of Technology, Operations, and Statistics at NYU Stern and a Research Scientist at Google AI. I previously worked as a high-frequency trader and co-founded a real estate investment company.

My core expertise lies at the intersection of data science and operations management. I have worked on retail, ride-sharing, airline, sustainability, cloud computing, online advertising, peer-to-peer lending, real estate, and conflict analytics. I have collaborated with many companies including Google, Waze, Oracle Retail, IBM Research, Via (ride-sharing), Spotify, Aldo Group, Couche-Tard/Circle K, Cargo, and Staples and I serve on the advisory board of several startups. In each project, I have worked closely with the company to develop solutions using tools such as optimization, machine learning, stochastic modeling, econometrics, game theory, and field experiments.

Editorial Work

Associate Editor for Management Science (2020-present)

Associate Editor for M&SOM (2021-present)

Senior Editor for Production and Operations Management (2017-present)

Advisor and Associate Editor for Management and Business Review (2019-present)

I have also served as a guest Associate Editor for NRL (2018-2021)

Education

Ph.D., Operations Research, MIT

M.S., Electrical Engineering, Technion

B.S., Aerospace Engineering, Technion

Contact

 

Desautels Faculty of Management, McGill University
1001 Sherbrooke St W, Montreal, QC H3A 1G5

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