# About

I'm a Professor of Mathematical Sciences in the Department of Mathematics at the University of Manchester.

My work focuses on Mathematical Epidemiology, which is an exciting field that draws on various areas of the mathematical sciences. During the COVID-19 pandemic, I have mainly been putting this expertise at the service of the Government, ONS, and NHS, making any statement of other research interests a bit moot. Nevertheless, I am currently particularly interested in efficient statistical inference for these problems, complex data including networks and associated theory, numerical probability, inverse problems, and model simplification.

Most of the support for COVID-19 work comes via the UKRI-funded JUNIPER Consortium.

I am currently funded by the Royal Society Industry scheme IBM Research locally, thinking about how we can make better use of modern computing architectures to solve complex inferential and modelling problems.

I am a Fellow of the Alan Turing Institute and led the "Turing @ Manchester: Patient Subgroup Discovery" project. I am also grateful for past and current funding from EPSRC.

I also support development of open-source software for epidemic modelling. My GitHub is here, and amusingly enough I'm old enough to have a SourceForge account. Now there is a great initiative called epirecipes that will hopefully pull together a lot of relevant software.