Dr Anthony O'Hare

Lecturer in Mathematics

Mathematics University of Stirling, Stirling, FK9 4LA

Dr Anthony O'Hare

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About me

About me

I am a lecturer in mathematics at the University of Stirling since March 2013 with research interests including modelling and simulating frustrated systems, models of infectious diseases, game theoretic techniques and the physics of gravity. Prior to moving to Stirling I worked as a postdoctoral associate to Prof Rowland Kao in the Boyd Orr Centre for Population and Ecosystem Health at the University of Glasgow where I modelled the transmission of bovine tuberculosis in cattle in the UK and Northern Ireland. I graduated with a BSc in Physics, Mathematics and Mathematical Physics from University College, Cork in 1994 and a Postgraduate Diploma in Computational Physics in 1995. I obtained an MSc in Computational Physics from the University of Salford in 1996. I completed my PhD entitled “The Formation of Low Temperature Superstructures in the Two-dimensional Ising model with Next-Nearest Neighbour Interactions” at the University of Loughborough under Prof Feo Kusmartsev in 2007.  I have spent a number of years working as a scientist at British Nuclear Fuels Ltd, modelling neutron skyshine  radiation, as a software engineer at Logica, Thales, and Sungard where, laterly, I worked as a consultant in Credit Risk management and Collateral Management for several top tier banks including Deutche Bank and JP Morgan Chase.  I am a member of the Institute of Physics and the Edinburgh Mathematical Society.

Research (5)

I am an applied mathematician with an interest in infectious disease dynamics. I am particularly interested in how spatial structure, population dynamics (i.e. movements of individuals), stochasticity, heterogeneities in population structure affect the spread and persistence of both human and animal diseases. Understanding the role of these phenomena is critical in developing effective control strategies.

Large-scale computer simulations play an important role in my research and I am the author of the Broadwick framework for epidemiological modelling.

My current research is in

  • game theoretic techniques to model dynamic interacting systems with complicated payoffs and strategy profiles that might exists, for example, in diverse farming systems or epidemiological control.
  • Modelling the spread of novel infectious diseases in large synthetic populations
  • Incorporating genomic data from pathogens into disease models.
  • Modelling treatment resistance in pathogens


EXPOWER: EXPOnential Analysis EmPOWERing Innovation
PI: Dr Wen-shin Lee
Funded by: European Commission (Horizon 2020)

Mathematical Modelling Demonstration Software: Animal Epidemic!
PI: Dr Anthony O'Hare
Funded by: The James Hutton Institute

Introduction to Mathematical Modelling for the environmental and biological sciences
PI: Dr Andrew Hoyle
Funded by: Natural Environment Research Council

Introduction to mathematical modelling for the environmental and biological sciences
PI: Professor Rachel Norman
Funded by: Natural Environment Research Council

Introduction to mathematical modelling for the environmental and biological sciences
PI: Professor Rachel Norman
Funded by: Natural Environment Research Council

Outputs (24)



Mothersill C, Abend M, Bréchignac F, Copplestone D, Geras’kin S, Goodman J, Horemans N, Jeggo P, McBride W, Mousseau TA, O’Hare A, Papineni RVL, Powathil G, Schofield PN & Austin B (2018) The tubercular badger and the uncertain curve:- the need for a multiple stressor approach in environmental radiation protection. Environmental Research, 168, pp. 130-140. https://doi.org/10.1016/j.envres.2018.09.031

Book Chapter

O'Hare A, Kusmartsev FV & Kugel KI (2009) 2D Ising Model with Competing Interactions and Its Application to Clusters and Arrays of Pi-Rings, Graphene and Adiabatic Quantum Computing. In: Kusmartsev F (ed.) Condensed Matter Theories, Volume 24: Proceedings of the 32nd International Workshop, Loughborough, United Kingdom, 13-18 August 2008. Condensed Matter Theories, 24. World Scientific, pp. 15-31. http://www.worldscientific.com/worldscibooks/10.1142/7493