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Adam Elmachtoub is an Associate Professor at Columbia University's Data Science Institute and the Department of Industrial Engineering and Operations Research. His research spans major themes, including the design of machine learning personalization methods for informed decision-making in industries such as retail, logistics, and travel, as well as new models and algorithms for revenue and supply chain management in modern e-commerce and service systems. He earned his B.S. degree from Cornell University and his Ph.D. from the Massachusetts Institute of Technology in operations research. Elmachtoub's postdoctoral research was conducted at IBM T.J. Watson Research Center in the Department of Business Analytics and Mathematical Sciences. He has received several prestigious awards, including the NSF CAREER Award, the IBM Faculty Award, and the 1st place in the INFORMS JFIG Paper Competition. Furthermore, he has been recognized with the Great Teacher Award by the Society of Columbia Graduates and was listed in Forbes 30 Under 30 in Science. For more detailed information, Elmachtoub invites interested individuals to access his CV and profiles on Google Scholar and DBLP.
Columbia University • New York, NY
Teaching and research in the fields of industrial engineering and operations research, focusing on machine learning and supply chain management.
Department of Anthropology (GSAS)