Professor Phil Pollett has research interests in Markov process theory, and mathematical modelling of complex systems in population biology, ecology, chemical kinetics and telecommunications.
He holds an honours degree in Applied Mathematics from the University of Adelaide and a PhD degree in Applied Probability from the University of Cambridge. He joined the Department of Mathematics in 1987 as Senior Lecturer, having previously held positions at the University of Adelaide, Murdoch University and University College of Cardiff. He was promoted to Reader in 1993 and to Professor in 2004.
His research is recognized internationally for significant contributions to Markov process theory, and mathematical modelling of complex systems in population biology, ecology, chemical kinetics and telecommunications. This research has been supported by eight ARC Large/Discovery/Linkage grants and he is a Chief Investigator within the ARC Centre of Excellence for Mathematics and Statistics of Complex Systems (MASCOS). In 1993, he was awarded the Moran Medal by the Australian Academy of Science for distinguished research in Applied Probability.
Phil Pollett has served on the editorial boards of the Journal of the Australian Mathematical Society, Methodology and Computing in Applied Probability, Stochastic Models, and The Annals of Applied Probability, and has served on the organizing committees of several major international conferences. He devised the Probability Web, recognized as the main Web resource for probabilists throughout the world, and one of the first academic web sites. He has a strong record of innovation in undergraduate teaching, and has guided the development of many postgraduate students and postdoctoral fellows through supervision and collaboration.