Cathal Mills
Cathal Mills
Doctoral Student
I am a First Year DPhil Statistics student funded by the Engineering and Physical Sciences Research Council (EPSRC). In brief, my research focus on the intersection of statistics and epidemiology. I aim to develop statistical and biomathematical methods to model, and better understand, the spread of infectious diseases. In particular, I am interested in exploring Neglected Tropical Diseases (NTDs) and COVID-19. My undergraduate degree was the BSc Economics and Finance (Major in Maths and Statistics) from University College Dublin. Subsequently, I completed the MSc Statistics at Imperial College London, where I specialised in Biostatistics. My research thesis involved Bayesian phylodynamic modelling of age-specific transmission dynamics of HIV.
Recent publications
Evaluating the impact of antiviral post-exposure prophylaxis for health-care workers during ebolavirus outbreaks: a modelling study
Preprint
Stapley JN. et al, (2026)
Multi-model approach to understand and predict past and future dengue epidemic dynamics
Journal article
Mills C. et al, (2025), Royal Society Open Science, 12
Renewal equations for mosquito‐borne diseases
Journal article
Mills C. et al, (2025), Methods in Ecology and Evolution, 16, 2653 - 2666
Scalable, open-access and multidisciplinary data integration pipeline for climate-sensitive diseases
Journal article
Dasgupta A. et al, (2025), Wellcome Open Research, 10, 467 - 467
From metric to action: The decision value of infectious disease forecasts
Preprint
Mills C. et al, (2025)