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Daniel Laydon is an Advanced Research Fellow at the Centre for Health Economics and Policy Innovation (CHEPI), where he primarily develops individual-based models to address the impact of policies on the incidence and mortality of non-communicable diseases. He has previously worked at the MRC Centre for Global Infectious Disease Analysis, based in Imperial's Department of Infectious Disease Epidemiology. His research focuses on transmission, prevention, and alleviation of infectious diseases, employing a combination of mathematical, statistical, and computational models to study a variety of diseases and viruses, particularly dengue, Middle Eastern Respiratory Syndrome (MERS), and COVID-19. During the recent pandemic, he has taken a keen interest in pandemic preparedness and emerging threats to human health. He earned his PhD from the Department of Immunology, where he studied within-host dynamics and the viral persistence of Human T-Lymphotropic Virus type-1 (HTLV-1), working on novel approaches to estimate immunological and microbiological diversity. With a background in pure mathematics and computational biology, Daniel is interested in spatiotemporal modelling, individual-based modelling, stochastic modelling, and Bayesian statistics for the analysis of clinical trial data. He aims to work on practical implications for policy, including the deployment of vaccines and interventions for infection control.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.