Mihalis Markakis holds a Ph.D from the Massachusetts Institute of Technology, Cambridge, MA, USA. Before joining IESE, he was with the faculty of Economics and Business at Universitat Pompeu Fabra, Barcelona.
He has held teaching positions at the Massachusetts Institute of Technology, the INSEAD Business School, and the London Business School, as well as a research position at the Bell Labs, Murray Hill, NJ, USA. He is the recipient of the Ramon y Cajal and the Juan de la Cierva fellowships from the Spanish government, and the COFUND fellowship from the Marie Curie Actions of the European Commission.
His research interests are in modeling, analysis, and optimization of stochastic systems, and their applications to Operations Research and the Management Sciences. In the current era of big data and driverless cars, his research focuses on learning problems arising in Operations Management, as well as economic issues in Transportation Science. His work has been published in top academic journals, such as Management Science, Mathematics of Operations Research, IEEE/ACM Transactions on Networking, and IEEE Transactions on Information Theory.