Rate My Professor Andreas Kyprianou

Professor Andreas Kyprianou is Professor of Probability Theory in the Department of Statistics at the University of Warwick. He earned a degree in Mathematics from the University of Oxford and a PhD in Probability Theory from the University of Sheffield in 1996. His career includes academic positions at the London School of Economics, University of Edinburgh, Utrecht University with a Dutch five-year Mathematics in Focus research fellowship, Heriot-Watt University, and the University of Bath for 17 years. At Bath, he led the probability research group Prob-L@B for over 15 years, was Principal Investigator and co-director of the EPSRC Centre for Doctoral Training SAMBa across two funding sessions for nine years, and served as director of the Institute of Mathematical Innovation. From 2018 to 2023, he held a Royal Society Wolfson Merit Award. Since joining Warwick in 2023, he directs the Centre for Applications of Mathematical and Computer Sciences (CAMaCS), leads as Principal Investigator the £7.3 million MaThRad programme grant on stochastic modelling and Monte Carlo simulation of radiation transport for energy, healthcare, and space industries, and co-leads the CIMAT-UNAM-Warwick-Bath research platform for UK-Latin America probability collaboration. He has been a visiting professor at ETH Zürich, Université Libre de Bruxelles, and CIMAT, Mexico.

Kyprianou specialises in pure and applied probability. His research interests encompass branching Markov processes, superprocesses and continuous-state branching processes, fragmentation and coalescence, stochastic modelling of radiation transport, self-similar Markov processes, Markov additive processes and Lévy processes, Monte-Carlo simulation of stochastic processes, and proofs using martingales. In 2020, with Leif Döring, he initiated the One World Virtual Seminar Series in Probability amid the global lockdown. He was appointed a Fellow of the Academy for the Mathematical Sciences in its first cohort. A key publication is his book Fluctuations of Lévy Processes with Applications: Introductory Lectures (Springer Universitext, second edition 2014). His contributions have advanced stochastic process theory and applications, demonstrated through leadership in research groups, doctoral training centres, and major grants.