Kath O’Reilly is an epidemiologist who specialises in the use of statistical and mathematical models for infectious diseases. Her current interests are in viral diseases such as polio, norovirus, and SARS-CoV-2, and how surveillance can be better utilised to understand disease burden and implement control. Of particular interest is how to account for unobserved processes in infection dynamics (data augmentation), and making use of multiple data sources to understand disease burden (Bayesian statistics). Kath is an Associate Professor at the London School of Hygiene and Tropical Medicine. Kath and her research team collaborate with external organisations such as the Global Polio Eradication Initiative, the UKHSA, and universities such as Nagasaki University and University College London. Teaching within the LSHTM includes leading the statistics module for the MSc in Data Science.