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Spyros Zoumpoulis is an assistant professor of Decision Sciences at INSEAD. His research is on prescriptive analytics for optimal personalized decision making, with applications in marketing, healthcare, public health policy, and revenue management. In his work, he develops algorithms for optimal personalized decision making, and studies how to learn and evaluate personalized policies using data from randomized experiments.

More broadly, he is interested in problems at the interface of information, learning, and decisions. His research has appeared in leading management science academic journals such as Management Science and Operations Research.

Spyros has worked with companies including Microsoft, LinkedIn, IBM, Oracle, and Accenture and has served 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 data science for business and decision models, 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 numerous times 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.


Working papers

Journal publications​

Media (selected)

Conference Proceedings



Email: [email protected]

Phone: +33 (0)1 60 72 43 26

Campus: Fontainebleau

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