Imperial College London


Faculty of MedicineSchool of Public Health

Visiting Researcher







UG12Medical SchoolSt Mary's Campus





I am Visiting Researcher at the MRC Centre for Global Infectious Disease Analysis having previously worked as a Research Assistant on malaria with Dr. Thomas Churcher and on COVID-19 with Dr. Katharina Hauck

My work on malaria focusses on applying machine learning algorithms to spectral data collected using near infra-red spectroscopy to predict epidemiologically important characteristics of laboratory-reared and wild mosquitoes, such as infection status, age and species.

During the COVID-19 pandemic, I co-led the hospital capacity workstream which has looked at methods to prevent health systems being overwhelmed.

I currently hold a National Institute for Health Research (NIHR) PhD scholarship to study the epidemiological modelling and analysis of COVID-19, MERS and other high consequence infectious diseases under the supervision of Professor Christl Donnelly. I am based in the Department of Statistics at the University of Oxford and I am member of the Health Protection Research Unit in Emerging and Zoonotic Infections

I have an undergraduate degree in Mathematics, Operational Research, Statistics and Economics from the University of Warwick with intercalated year at Monash University and a Master's degree in Statistics from Imperial College London.



Some BM, Da DF, McCabe R, et al., 2022, Adapting field-mosquito collection techniques in a perspective of near-infrared spectroscopy implementation, Parasites & Vectors, Vol:15, ISSN:1756-3305

Mullins E, McCabe R, Bird SM, et al., 2022, Tracking the incidence and risk factors for SARS-CoV-2 infection using historical maternal booking serum samples, Plos One, Vol:17, ISSN:1932-6203, Pages:e0273966-e0273966

Gray L, Asay BC, Hephaestus B, et al., 2022, Back to the Future: Quantifying Wing Wear as a Method to Measure Mosquito Age, American Journal of Tropical Medicine and Hygiene, Vol:107, ISSN:0002-9637, Pages:689-700

McCabe R, Kont MD, Watson O, et al., 2021, Communicating uncertainty in epidemic models, Epidemics: the Journal of Infectious Disease Dynamics, Vol:37, ISSN:1755-4365, Pages:1-6

McCabe R, Donnelly C, 2021, Disease transmission and control modelling at the science-policy interface, Interface Focus, Vol:11, ISSN:2042-8901, Pages:1-13

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