I am a mathematical modeller in infectious disease dynamics. My research interests centre around understanding how acute infections spread and how to mitigate outbreak risks. Specifically, I work on developing generalisable and open-access statistical tools to identify determinants of transmission, evaluate outbreak risks and inform public health policies. I first joined the School as a research assistant in 2016, and then completed a PhD funded by the Medical Research Council on "Modelling the risks of measles outbreaks near elimination" (2017-2021). Prior to joining the School, I completed two Master’s degrees (Bioinformatics and Modelling at INSA de Lyon and Public Health at Lyon 1 University).
I am affiliated with the Centre for the Mathematical Modelling of Infectious Diseases.
Affiliations
Centres
Teaching
Since 2021, I have led an optional module for MSc Epidemiology and MSc Demography and Health students on "Introduction to R", for which I have developed teaching materials. At LSHTM, I teach on the Statistics for Epidemiology and Population Health MSc module and on the Modern Techniques for Modelling Infectious Diseases Dynamics short course. I also teach on the Introduction to Infectious Disease Epidemiology and Modelling short course at Nagasaki University. Finally, I have developed and led Introduction to R sessions for staff.
Research
My work aims to improve our understanding of respiratory virus transmission patterns in heterogeneous populations by developing robust inference and simulation models. My core project focuses on investigating the impact of socioeconomic and ethnic health disparities on respiratory virus transmission. In particular, I develop mathematical models to analyse the connections between social contact patterns in specific social groups and infection rates.
In the past ten years, I have worked on analysing transmission dynamics in various settings and pathogens: understanding drivers of transmission during previous Ebola virus disease outbreaks in West Africa and in the Democratic Republic of the Congo, modelling the dynamics of measles in near-elimination settings, forecasting COVID-19 outbreak risk in Europe, and improving the control of measles epidemics in Niger.