Covid lockdowns may be with us for a long time to come, but they could be made sharper, less painful and possibly even more...
Spyros Zoumpoulis is an assistant professor of Decision Sciences at INSEAD. His research is on using analytics and machine learning to optimize marketing and operations decisions. His current focus is on investigating how to use data from field experiments to make optimal decisions, such as targeting decisions in marketing. More generally, he is broadly interested in problems at the interface of networks, learning with data, and decision making. His research has appeared in leading management academic journals such as Management Science and Operations Research.
Spyros has worked with companies including Microsoft, LinkedIn, IBM, Oracle, and Accenture and serves on the advisory board of start-ups in the areas of his expertise. At INSEAD, he teaches the MBA core course on uncertainty, data and judgment, the MBA electives on big data analytics and models for strategic planning, the MBA business foundations course on quantitative methods, the PhD courses on probability and statistics, and the INSEAD-Sorbonne business foundations course on uncertainty, data and judgment. He has won the Dean's Commendation for Excellence in MBA Teaching award and has been nominated for the best MBA elective professor award.
Spyros received the B.S., M.Eng., and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.