I am a Professor of Statistics in the Department of Mathematics and Statistics at Lancaster University.

I am interested in problems related to Bayesian machine learning and computational statistics, with a focus on Markov chain Monte Carlo, sequential Monte Carlo and particle-based variational inference techniques. My current research is focused on Bayesian methods for large-scale datasets and tools for online learning. I have also worked on problems related to Gaussian processes and network modelling.

I currently hold a UKRI-EPSRC Turing AI Fellowship on Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL) and formerly an EPSRC Innovation Fellowship on Scalable and Exact Data Science for Security and Location-based Data. I am also currently a Co-I on the EPSRC-funded Prob_AI Hub.

I am the Theme Lead for AI in Lancaster University’s Data Science Institute DSI and Lancaster University’s machine learning lead in the N8 CIR. I am currently an Associate Editor for the journals Data-Centric Engineering and Transactions on Probabalistic Machine Learning.