I am interested in using mathematical and statistical techniques to provide better understanding about the real world.

My current work involves assessing the wider economic impacts of Salmonella vaccines, working with Professor Mark Jit and collaborators at the International Vaccine Institute (IVI) in South Korea, the World Health Organization, and Shift Health in Canada.

My previous Research Fellow role focussed on using mathematical models in the context of the COVID-19 response. My funding for this came from the EU Horizon 2020 EpiPose project. The aim of this project was to provide epidemic intelligence to minimise 2019-nCoV’s public health, economic and social impact in Europe. I was involved in a number of projects utilising SARS-CoV-2 transmission models to understand the key drivers of disease spread as well as provide useful projections to help guide policy responses.

Previously I have enjoyed working on theoretical network-based models in the fields of neuroscience and epidemiology. I am fascinated by the universal nature of networks and the complex nature of the network structures we all engage in throughout our lives. More recently, I have been involved in more applied, data-driven modelling to inform real-world insights.

I am happy to discuss new ideas and projects, so please contact me via email if you would like to set up a virtual coffee or propose a collaboration.