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Spyros Zoumpoulis is an assistant professor of Decision Sciences at INSEAD. His research is on using analytics to optimize decision making, with applications in marketing, healthcare, and revenue management. His current focus is on investigating how to design, and use data from, experiments in order to make optimal personalized decisions, as well as how to evaluate policies that make personalized decisions, such as targeting decisions in marketing and personalized treatment decisions in healthcare.

More generally, he is broadly interested in problems at the interface of learning with data and decision making. 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 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 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.