Dr Lloyd Chapman
My research uses mathematical and statistical modelling to try to improve understanding and control of infectious diseases. I am currently working on modelling of outbreak-prone diseases, such as COVID-19, as part of the NIHR Health Protection Research Unit in Modelling and Health Economics based at LSHTM, Imperial College and Public Health England.
From 2015-2020, I worked on modelling of visceral leishmaniasis to support national control programs in the Indian subcontinent, first as a postdoc in the Neglected Tropical Disease Modelling Consortium at Warwick University and then as an assistant professor at LSHTM.
From 2020-2021, I was a postdoc in the Department of Medicine at the University of California, San Francisco, where I worked on various COVID-19 modelling projects, including vaccine prioritization and interventions against homeless shelter outbreaks, and developing Bayesian inference methods for reconstructing malaria antibody dynamics.
I teach on several modules on the MSc in Medical Statistics, including Foundations of Medical Statistics, Statistical Methods in Epidemiology, and Analysis of Hierarchical and Other Dependent Data, and supervise students on the course.
My research applies novel mathematical and statistical methods to infectious disease data at different scales to improve understanding of disease transmission and inform control interventions. I am particularly interested in Bayesian inference methods in epidemiology and spatiotemporal modelling of infectious diseases.