Maxime C. Cohen is a professor of Retail and Operations Management and the Director of Research at the Bensadoun School of Retail Management at McGill University in Montreal, Quebec, Canada.[1][2] He holds the title of Scale AI Chair in Data Science for Retail.[3]
Education and career
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.[1] 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 the first Chief Artificial Intelligence Officer (CAIO) at ELNA Medical, Canada’s largest integrated network of medical clinics.[6][7] He was also a visiting professor and Shubik Fellow at Yale School of Management in 2023-2024.[8] 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.[9]
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.[10] 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.[11] 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.[12]