I am a Senior Teaching Fellow in the Statistics Section of the Department of Mathematics. I work primarily as a module leader on the MSc in Machine Learning and Data Science (MLDS), and will also be running some of the UG1 Probability & Statistics (MATH40005) Problem Classes this year.
As well as teaching, I have a number of research interests. Broadly speaking, these include the use of machine learning methods in engineering problems, the use of spatial statistics in ecological applications and the development of likelihood-free approaches to Bayesian inference, in particular using sequential Monte Carlo methods.
et al., 2014, Approximate Bayesian computation for smoothing, Stochastic Analysis and Applications, Vol:32, ISSN:0736-2994, Pages:397-420
Martin JS, Jasra A, McCoy E, 2013, Inference for a class of partially observed point process models, Annals of the Institute of Statistical Mathematics, Vol:65, ISSN:0020-3157, Pages:413-437
et al., 2012, Filtering via approximate Bayesian computation, Statistics and Computing, Vol:22, ISSN:0960-3174, Pages:1223-1237