Dr Matt Sutton

Lecturer in Statistical Inference for Complex Models, School of Mathematical Sciences

Matthew Sutton completed his PhD in 2019 developing new statistical methods to analyse high dimensional data from clinical heath and biological problems. He worked as a postdoc at Lancaster University as part of the multi-university Bayes4Health grant in the United Kingdom. 

His research interests span broadly across Monte Carlo methods, high dimensional statistics and Bayesian methodology. A particular focus of his current research is in the development of continuous-time Monte Carlo methods for speeding up the computation required for Bayesian inference. He is a currently working on the Models and Algorithms research program for the centre.