Serban Radian, Yoan Diekmann, Plamena Gabrovska, Brendan Holland, Lisa Bradley, Helen Wallace, Karen Stals, Anna-Marie Bussell, Karen McGurren, Martin Cuesta, Anthony W Ryan, Maria Herincs, Laura C Hernandez-Ramirez, Jade Samuels, Elena Daniela Aflorei, Sayka Barry, Judit Denes, Ida Pernicova, Craig E Stiles, Giampaolo Trivellin, Ronan McCloskey, Michal Ajzensztejn, Noina Abid, Scott A Akker, Moises Mercado, Mark Cohen, Rajesh V Thakker, Stephanie Baldeweg, Ariel Barkan, Madalina Musat, Miles Levy, Stephen M Orme, Martina Unterlaender, Joachim Burger, A. Kumar, Sian Ellard, Joseph McPartlin, Ross McManus, Gerard J Linden, Brew Atkinson, D. Balding, Amar Agha, C. Thompson, Steven J Hunter, Mark G Thomas, Patrick J Morrison, Marta Korbonits, LC Hernández-Ramírez, J Dénes, M Unterländer. Increased Population Risk of AIP-Related Acromegaly and Gigantism in Ireland. Human Mutation, 38, 78-85, 2017. doi: 10.1002/humu.23121.
C. Thompson, Elad Shtilerman, Lewi Stone. A discrete Markov metapopulation model for persistence and extinction of species. Journal of Theoretical Biology, 404, 391-397, 2016. doi: 10.1016/j.jtbi.2016.06.010.
P. Forrester, C. Thompson. The Golden-Thompson inequality: Historical aspects and random matrix applications. Journal of Mathematical Physics, 55, 023503 (12pp), 2014. doi: 10.1063/1.4863477.
C. Thompson, T. Lee, MA McCarthy. Species distributions and area relationships. Journal of Theoretical Biology, 363, 129-133, 2014. doi: 10.1016/j.jtbi.2014.08.011.
E Shtilerman, C. Thompson, L Stone, M Bode, M Burgman. A novel method for estimating the number of species within a region. Royal Society of London. Proceedings B. Biological Sciences, 281, 20133009 (7pp), 2014. doi: 10.1098/rspb.2013.3009.
Professor Thompson held a Chair of Mathematics in the department for 30 years. He now holds an honarary Professorship. His research centred on statistical mechanics but in more recent times has focussed on modelling complex systems using ideas and techniques from Statistical Mechanics and Dynamical Systems theory. A collaborative ARC/Telstra grant (1996-1998) for example was concerned with modelling interactions between biological systems and electromagnetic fields. Modelling financial markets and the behaviour of market players are the other areas of interest where Statistical Mechanical methods have been applied. Collaborative projects with environmental scientists on the quantitative risk analysis, of genetically modified crops for example, using stochastic dynamical systems have also been tackled.
Recent Grant History
|2011 - 2013||ARC||Discovery||New models for effective surveillance|