Works at – Associate Professor at University of Copenhagen
Teaches – Applied Bayesian Modelling for Ecologists and Epidemiologists (ABME)
Matt qualified as a veterinary surgeon from the University of Glasgow, and subsequently focussed his post-graduate training in the area of quantitative veterinary epidemiology, obtaining his PhD in 2010. His research focus spans from statistical methodology through to the application of statistical and mathematical modelling to problems in epidemiology and ecology, working on a wide variety of problems in various different fields.
Much of his work was revolved around the use of Bayesian methods, particularly Markov chain Monte Carlo, applied to parasitology and antimicrobial resistance. He is the author of two R packages hosted on CRAN, including the ‘runjags’ package which serves as an interface to ‘Just Another Gibbs Sampler (JAGS)’, and is also a developer and currently builds and maintains the Mac binaries on the JAGS project.
Matt is also a fellow of the higher education academy with a wide range of teaching experience in epidemiology, biostatistics, public health and clinical farm animal medicine at both undergraduate and postgraduate level, he enjoys the challenge of describing complex statistical methods in a way that is accessible to ecologists and epidemiologists with a background in clinical or biological sciences.
