LSE homepage Milan Vojnovic

Short Biography

Milan Vojnovic is a Professor of Data Science, with the Department of Statistics, at the London School of Economics and Political Science (LSE). He received a Ph.D. degree in Technical Sciences from Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, in 2003, and both M.Sc. and B.Sc. degrees in Electrical Engineering from the University of Split, Croatia, in 1995 and 1998, respectively. From 2004 to 2016, he was a researcher with Microsoft Research, Cambridge, United Kingdom. He held various visiting positions both in academia and industry. From 2019 to 2021 he held a Visiting Scientist position with the Core Data Science at Facebook. From 2014 to 2016, he was an affiliated lecturer with the Statistical Laboratory at the University of Cambridge. From 2005 to 2014, he was a Visiting Professor with the University of Split, Croatia.

His current research interests lie in area of machine learning, with a focus on the topics of sequential decision making, multi-agent systems, machine learning algorithms for solving various prediction tasks, and statistical inference in network and ranking data. He has made research contributions to the areas of distributed computing, game theory, and networking. His research was kindly supported by various industrial research grants, including a Facebook Research Award, a Criteo Faculty Research Award, and a Huawei Technologies Research Grant.

He was awarded the 2010 ACM Sigmetrics Rising Star Researcher award, and the 2005 ERCIM Cor Baayen Award. He received the IEEE IWQoS 2007 Best Student Paper Award (with Shao Liu and Dinan Gunawardena), the IEEE Infocom 2005 Best Paper Award (with Jean-Yves Le Boudec), the ACM Sigmetrics 2005 Best Paper Award (with Laurent Massoulie), and the ITC 2001 Best Student Paper Award (with Jean-Yves Le Boudec). He delivered numerous lectures and seminars in both academia and industry. He taught several editions of a computer networking course to the undergraduate computer science program at the University of Split. He taught two editions of a course on contest theory within Part III of Mathematical Tripos (master program in mathematics) at the University of Cambridge. He authored the book ``Contest Theory: Incentive Mechanisms and Ranking Methods,'' Cambridge University Press, 2016.