Maxime Cohen

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Maxime C. Cohen
Alma materTechnion – Israel Institute of Technology
Massachusetts Institute of Technology
OccupationsProfessor, Researcher, Author
Awards
  • MSOM Young Scholar Prize (2022)
  • Poets&Quants Best 40-Under-40 MBA Professors (2022)
  • MIT Energy Initiative Fellowship
  • POMS Wickham Skinner Early-Career Research Accomplishments Award (2020)
Scientific career
InstitutionsMcGill University
New York University Stern School of Business

Maxime C. Cohen is a professor of Retail and Operations Management and the Academic Director of the Bensadoun School of Retail Management at McGill University in Montreal, Quebec, Canada.[1] Previously, he was the Director of Research at the Bensadoun School of Retail Management at McGill University.[2] He holds the title of Scale AI Chair in Data Science for Retail.[3]

Education and career

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Cohen did his Ph.D. in Operations Research from the Massachusetts Institute of Technology.[4] He completed his Master of Science in Electrical Engineering and a Bachelor of Science in Aerospace Engineering from the Technion – Israel Institute of Technology.[2] His research interests are in data science, AI technologies, empirical and behavioral operations management, field experiments, online marketplaces, pricing and revenue management, and retail.[5]

Cohen was appointed as Chief of AI Strategy at the CIUSSS West-Central Montreal in December 2024.[6] Prior to this, he was appointed as the first Chief Artificial Intelligence Officer (CAIO) at ELNA Medical, Canada's largest integrated network of medical clinics.[7][8] He was also a visiting professor and Shubik Fellow at Yale School of Management in 2023–2024.[9] Before joining the faculty at McGill University, Cohen was an assistant professor of technology, operations, and statistics at the NYU Stern School of Business. He also worked as a research scientist at Google AI.[10]

He has co-authored several books and published numerous academic papers in leading journals, including Harvard Business Review, Information Systems Research, Management Science, Marketing Science, MIT Sloan Management Review, etc.[11] He worked extensively on pricing optimization and on demand prediction. In 2022, he co-authored a book titled Demand Prediction in Retail that was published by Springer.[12] In September 2024, he authored the AI is Good for Us white paper highlighting the benefits and positive impacts of AI on humanity and society.[13]

Honours

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  • Top Retail Influencer, RETHINK Retail (2024).[14]
  • MSOM Young Scholar Prize (2022).[15][16]
  • Named to Poets&Quants' annual Best 40-Under-40 MBA Professors list (2022).[17][18]
  • CIST Best Conference Paper Nomination Award (2021).[19]
  • POMS Wickham Skinner Early-Career Research Accomplishments Award (2020).[20]
  • First Place in the Best OM Paper in Management Science Award (2019).[21]
  • UPS PhD Fellowship (2014–2015).[22]
  • Best Application of Theory award from the 2015 NEDSI Conference.[22]
  • MIT Energy Initiative Fellowship (2011–2012).[22]

References

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