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Milan Vojnovic |
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Milan Vojnovic is a Professor of Data Science in the Department of Statistics at the London School of Economics and Political Science (LSE). Before joining LSE in 2016, he spent 13 years working as a researcher at Microsoft Research. He earned his Ph.D. from EPFL, Switzerland, in 2003, and both M.Sc. and B.Sc. degree from the University of Split, Croatia, in 1995 and 1998, respectively. He had positions as a visiting researcher with KAIST AI, Seoul, Republic of Korea, in 2024, a visiting researcher with Meta from 2019 to 2021 and 2022 to 2024, an affiliated lecturer at the Statistical Laboratory at the University of Cambridge from 2014 to 2016, and a visiting professor at the University of Split from 2005 to 2014.
His current research focuses on machine learning, including optimisation for machine learning, active learning algorithms, sequential decision marking, online algorithms, bandit algorithms, and statistical inference. His contributions to research have earned him recognition, including the 2010 ACM Sigmetrics Rising Star Researcher and the ERCIM Cor Baayen Award. Additionally, he received best paper awards at IEEE IWQoS 2007, IEEE Infocom 2005, ACM Sigmetrics 2005, and ITC 2001 for papers co-authored with various authors. His research is supported by a Facebook Research Award (2020), a Criteo Faculty Research Award (2018), and a Huawai Research Grant (2018).
He taught various machine learning and data science courses at LSE to master and doctoral students. He also taught a computer networking course within a computer science programme at the University of Split and a game theory course within Part III of the Mathematical Tripos (master's programme in mathematics) at the University of Cambridge. He authored the book Content Theory: Incentive Mechanisms and Ranking Methods, published by Cambridge University Press in 2016.