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 and GERAD

Chief AI Officer @ ELNA Medical
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, Supplyve, Tote, EcoPrice, Silverback.ai, Rebloc.io

Book: "Demand Prediction in Retail - A Practical Guide to Leverage Data and Predictive Analytics," Springer Series in Supply Chain Management 14, 2022 (ISBN 978-3-030-85855-1)
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 and co-director of the Retail Innovation Lab at McGill University. I am the Chief AI Officer of ELNA Medical and the Scientific Director of the non-profit MyOpenCourt.org. I am also a Scientific Advisor in AI and Data Science at IVADO Labs, and I am actively advising corporations, retailers, and startups on topics related to pricing, retail, and data science. 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, healthcare analytics, and conflict analytics. I have collaborated with many companies including Google, Waze, Oracle Retail, IBM Research, Via, Spotify, Aldo Group, Couche-Tard/Circle K, L'Oréal, 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 machine learning, optimization, stochastic modeling, econometrics, and field experiments.

Editorial Work

Department Editor for Production and Operations Management – Service Operations Department and Supply Chain Management Department (2022-present)

Guest Department Editor for POM Special Issue on "Responsible Data Science" (2022-2024)

Associate Editor for Management Science (2020-present)

Associate Editor for M&SOM (2021-present)

Senior Editor for Production and Operations Management (2017-2022)

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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