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
Renewal equations for mosquito‐borne diseases
Journal article
Mills C. et al, (2025), Methods in Ecology and Evolution, 16, 2653 - 2666
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
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)
The time- and space-varying roles of human mobility in shaping urban dengue epidemics
Preprint
Mills C. et al, (2025)