Mr Alexis Robert
Res Fellow Infectious Disease Modelling
I am a mathematical modeller in infectious disease dynamics, I first joined the school as a research assistant in 2016, and completed a PhD funded by the Medical Research Council on "Modelling the risks of measles outbreaks near elimination" (2017-2021). I now work on assessing the risks of measles outbreaks in England and Wales, and on analysing subnational COVID-19 outbreak risks in Europe.
Prior to joining the School, I completed two Master’s degrees in 2016: one in Bioinformatics and Modelling at INSA de Lyon and another in Public Health at Lyon 1 University. I previously worked in the Mathematical Modelling of Infectious Disease Team at the Institut Pasteur on Dengue transmission in New Caledonia.
I am affiliated with the Centre for the Mathematical Modelling of Infectious Diseases, and my current project is funded by the National Institute for Health Research (NIHR).
My core project focuses on developing statistical methods and tools to understand the transmission patterns of measles in England and Wales. This means disentangling the drivers of transmission in previous outbreaks, and identifying indicators of the local risks of transmission. In particular, I am interested in the influence of spatial and social heterogeneity in immunity on the spread of measles, which can be explored using inferred transmission trees (i.e. who-infected-whom) from previous outbreaks, and by looking into the correlation between various local indicators and the risks of measles outbreaks. I am also interested in the integration of behavioural and movement data into transmission models.
More broadly, I am interested in implementing novel frameworks using Bayesian parameter estimation procedures to reconstruct transmission history. These frameworks aim to complement the information collected by contact tracing investigations, and improve our understanding of the determinants of transmission.