I am an Associate Professor at the London School of Hygiene and Tropical Medicine and Senior Lecturer in Infectious Disease Epidemiology at Imperial College London. My group develops inference methods and tools for modelling infectious disease transmission and potential interventions. We are focussing on a Bayesian evidence synthesis approach where multiple data streams can be used to inform parameters of complex mechanistic models in real time applications. Since January 2020, I have been part of the Imperial College London Covid-19 response team, involved in the Centre’s effort to understand the properties of the emerging virus in the early phase and subsequently leading the UK Real-time modelling team informing the UK government through SPI-M-O. I am also a member of the Scientific Pandemic Influenza Group on Modelling (SPI-M) and the Commission technique des vaccinations (CTV), France NITAG.
Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health
Centre for Mathematical Modelling of Infectious Diseases
Pandemic burden in low-income settings and impact of limited and delayed interventions: A granular modelling analysis of COVID-19 in Kabwe, Zambia.
2024
International journal of infectious diseases
Combining models to generate a consensus effective reproduction number<i>R</i>for the COVID-19 epidemic status in England
2024
Epidemiology and Infection
Author Correction: Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England.
2023
Nature communications
Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England.
2023
Nature communications
Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling.
2022
Communications medicine