Alicia Gill
Postdoctoral Researcher
Alicia Gill is a postdoctoral researcher in Ben Cooper’s Drug-Resistant Infections and Disease Dynamics (DRIaDD) group. Her research focuses on using statistical modelling to inform the design and analysis of vaccine trials, in particular for Lassa fever vaccine candidates. She is broadly interested in the application of Bayesian statistics to infectious disease dynamics.
Alicia recently completed her PhD at the University of Warwick, where she used particle Markov chain Monte Carlo methods to infer time-varying reproduction numbers from both genomic and epidemiological data. Before her PhD, she worked as a Medical Statistician at the Birmingham Clinical Trials Unit.
Recent publications
Bayesian inference of reproduction number from epidemiological and genetic data using particle MCMC
Journal article
Gill A. et al, (2025), Journal of the Royal Statistical Society Series C: Applied Statistics
Bilateral remote ischemic conditioning in children: A two-center, double-blind, randomized controlled trial in young children undergoing cardiac surgery
Journal article
Drury NE. et al, (2024), JTCVS Open, 18, 193 - 208
Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC
Preprint
Gill A. et al, (2023)
Rapid intrapartum test for maternal group B streptococcal colonisation and its effect on antibiotic use in labouring women with risk factors for early-onset neonatal infection (GBS2): cluster randomised trial with nested test accuracy study
Journal article
Daniels JP. et al, (2022), BMC Medicine, 20
A rapid intrapartum test for group B Streptococcus to reduce antibiotic usage in mothers with risk factors: the GBS2 cluster RCT
Journal article
Daniels J. et al, (2022), Health Technology Assessment, 26, 1 - 82