My academic research focuses on understanding how health threats spread through populations, and how we can use data to respond more effectively. This spans everything from large-scale studies of social behaviour and immunity to developing new statistical methods for real-time outbreak analysis.
A major theme of my work has been building tools that can translate messy, incomplete data into actionable insights. During the COVID-19 pandemic, this meant contributing to over 40 analytical studies for SAGE and SPI-M-O to inform UK policy. I've also worked on collaborative projects with organisations including the BBC, SpaceX, Meta, and the Premier League.
Open-source software
I have helped develop a range of analytical tools for health research. Here are some of the open-source projects I co-lead:
Epiverse-TRACE
A global initiative developing sustainable, production-quality R packages for outbreak analytics.
seroanalytics
Tools for analysing antibody data from population-level serological studies.
pdf2plot
Extract data points from published figures using automated digitisation.
GitHub
Browse all my open-source code, packages, and research repositories.