His research is mostly concerned with the development of novel methodology for efficient Bayesian statistical inference and model selection for complex high-dimensional datasets. The area that he has worked the most in is on formulating stochastic epidemic models and fitting them to disease outbreak data of infectious diseases using Monte Carlo methods.