Hosted by the Engineering Mathematics Research Group
TJ McKinley (Exeter)
His research interests lie in the application and development of statistical methodology for the study of infectious diseases, in particular spatial epidemiology using Bayesian techniques. He has worked on disease dynamics at many levels, from within-host infections through to large-scale spatial spread of infection. He has contributed to methodological advances / applications of a range of statistical inference techniques for calibrating complex, computationally demanding models, such as: Approximate Bayesian Computation, pseudo-marginal Markov chain Monte Carlo, and History Matching with emulation.