My research interests are in computational statistics, statistical signal processing, and probabilistic machine learning. My work covers diverse topics in these areas, including Monte Carlo methods, Bayesian inference in static and dynamical models, statistical modelling and inference in population ecology, signal processing for biomedical applications and wireless communications, among other applications. A significant part of my recent work focuses on importance sampling methodology, including sequential Monte Carlo (particle filtering).