Maxime Cohen

Maxime C. Cohen Professor, McGill University Scale AI Chair in Data Science for Retail Director of Research at the Bensadoun School of Retail Management Associate Member, Electrical and Computer Engineering Department (by courtesy) Member of CIRRELT and GERAD Visiting Professor and Shubik Fellow, Yale School of Management, Yale University (2023-2024) Chief AI Officer @ ELNA Medical Director of Artificial Intelligence @ Intégral Scientific Advisor in AI and Data Science @ IVADO Labs Associate Director for Strategy and Partnership @ Conflict Analytics Lab Scientific Director @ MyOpenCourt.org Advisor or investor for startups: Intelligems, CrownSync AI, BlueQubit, Leav, Cherre, Supplyve, ScribeMD Books: "Demand Prediction in Retail - A Practical Guide to Leverage Data and Predictive Analytics," Springer Series in Supply Chain Management 14, 2022 (ISBN 978-3030858551) Buy the book: Amazon.com, Amazon.ca, Amazon.fr, Springer, Barnes & Noble, Book Depository, Browns Books "Precision Retailing: Driving Results with Behavioral Insights and Data Analytics," University of Toronto Press, 2024 (ISBN 978-1487542719) Buy the book: Amazon.com, Amazon.ca, University of Toronto Press, Barnes & Noble, Book Depository, Browns Books "Behavioral Retail Operations: Tactics to Win Customers," Foundations and Trends® in Technology, Information and Operations Management, Forthcoming

About

I am the Scale AI Chair Professor of Retail and Operations Management and Director of Research at McGill University. I was a Visiting Professor of Operations Management and a Shubik Fellow at Yale School of Management (2023-2024). 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 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, ridesharing, airline, sustainability, cloud computing, online advertising, peer-to-peer lending, real estate, healthcare, and conflict analytics. I have collaborated with many companies including Google AI, Microsoft, Meta, Uber, Waze, Oracle Retail, IBM Research, Via, Spotify, Aldo Group, Couche-Tard/Circle K, Loblaws, Canadian Tire, 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.

My research and teaching have received 40+ awards, including Poets&Quants Best 40-Under-40 MBA Professors, RETHINK Retail’s Top Retail Influencers, MSOM Young Scholar Prize, and Best OM Paper in Management Science.

Editorial Work

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

Department Editor for Production and Operations Management – Supply Chain Management Department (2022-2024)

Deputy Editor for Service Science (2024-present)

Special Issue Editor for Service Science on "Impact of AI on Service Design and Delivery" (2024-2025)

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

Associate Editor for Management Science (2020-present)

Associate Editor for Operations Research (2024-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)

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