My research interests lie largely in Bayesian statistical inference, particularly Markov chain Monte Carlo (MCMC) methods, including model selection with reversible jump MCMC.
I am also interested in inference for stochastic systems of biological processes, such as those found in population ecology, cell-signalling and infectious diseases. These are often represented using state-space models and variants.
I have additionally worked extensively in models for continuous data with many exact zeros and integrating multivariate data from varying sources and supports, which incorporate those interests above.
Finally, I have interests in real-world applications of the above spanning biological and ecological sciences. My work frequently involves collaborations with domain experts and data collectors in these fields.