Close

Dr Alexis Robert

BSc MSc PhD

Research Fellow

Room
LG22

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
02079588171

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.

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 currently 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).

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Research

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.

Research Area
Public health
Statistical methods
Vaccines
Bayesian Analysis
Disease control
Outbreaks
Modelling
Discipline
Epidemiology
Mathematical modelling
Statistics
Bioinformatics
Disease and Health Conditions
Measles
Country
United Kingdom

Selected Publications

Lessons from New Zealand's COVID-19 outbreak response.
Robert A
2020
The Lancet Public Health
Probabilistic reconstruction of measles transmission clusters from routinely collected surveillance data.
Robert A; Kucharski AJ; Gastañaduy PA; Paul P; Funk S
2020
Journal of the Royal Society, Interface
A39 Reconstruction of Ebola chains of transmission using sequence and epidemiological data
Robert A; Edmunds J; Eggo R; Henao-Restrepo A-M; Gsell P-S; Watson CH; Longini IM; Rambaut A; Camacho A; Hué S
2019
Virus Evolution
The measles crisis in Europe-the need for a joined-up approach.
Robert A; Funk S; Kucharski AJ
2019
The Lancet
See more Publications