Peter Taylor received a BSc(Hons) and a PhD in Applied Mathematics from the University of Adelaide in 1980 and 1987 respectively. In between, he spent time working for the Australian Public Service in Canberra. After periods at the Universities of Western Australia and Adelaide, he moved at the beginning of 2002 to the University of Melbourne. In January 2003, he took up a position as the inaugural Professor of Operations Research. He was Head of the Department of Mathematics and Statistics from 2005 until 2010.
Peter's research interests lie in the fields of stochastic modelling and applied probability, with particular emphasis on applications in telecommunications, biological modelling, healthcare, economics and disaster management. Recently he has become interested in the interaction of stochastic modelling with optimisation and optimal control under conditions of uncertainty. He is regularly invited to present plenary papers at international conferences. He has also acted on organising and program committees for many conferences.
Peter is the editor-in-chief of `Stochastic Models', and on the editorial boards of `Queueing Systems', the `Journal of Applied Probability' and `Advances in Applied Probability'. He served on the Awards Committee of the Applied Probability Section of the Institute for Operations Research and Management Science (INFORMS) from 2005-2007 and in 2016 was Co-Chair of the committee for the Nicholson Prize, awarded for the best student paper in operations research. In 2008, Peter became one of the five trustees of the Applied Probability Trust. This trust, which is based in Sheffield UK, is the body which publishes the Applied Probability journals plus `The Mathematical Scientist' and `Spectrum'.
From February 2006 to February 2008, Peter was Chair of the Australia and New Zealand Division of Industrial and Applied Mathematics (ANZIAM), and from September 2010 to September 2012 he was the President of the Australian Mathematical Society. In 2013 he was awarded a Laureate Fellowship by the Australian Research Council, and in 2016 he became Director of ACEMS.
The broad aim to develop mathematical models for population dynamics that account for local population behaviour, individual variation, spatial structure, and differing migration patterns, and to calibrate these models to real data.
Demand for healthcare services is growing rapidly in Australia, and rising healthcare expenditure is increasing pressure on the sustainability of the government-funded healthcare system. To keep up with the rising demand, we need to be more efficient in delivering healthcare services. To make a system efficient, we need to identify the source of inefficiency and eliminate it.
Göbel, J., Keeler H., Krzesinski A. E., & Taylor P.
(2016). Bitcoin blockchain dynamics: The selfish-mine strategy in the presence of propagation delay. Performance Evaluation. 104, 23-41. doi: 10.1016/j.peva.2016.07.001
Siekmann, I., Fackrell M., Crampin E. J., & Taylor P.
(2016). Modelling modal gating of ion channels with hierarchical Markov models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science. 472(2192), 1-27. doi: 10.1098/rspa.2016.0122
Sonenberg, N., Au G., & Taylor P.
(2015). A queueing model for the capacity planning of a multi-phase human services process. International Journal of Systems Science: Operations & Logistics. 2(3), 156-167. doi: 10.1080/23302674.2015.1015660
Keeler, H., & Taylor P.
(2014). Discussion on “On the Laplace Transform of the Aggregate Discounted Claims with Markovian Arrivals,” by Jiandong Ren, Volume 12(2). North American Actuarial Journal. 19(1), 73-77. doi: 10.1080/10920277.2014.977453
Campbell, L. H., & Taylor P.
(2014). Renfrey Burnard Potts 1925–2005. Historical Records of Australian Science. 25(2), 291. doi: 10.1071/HR14019