Lorenzo Pellis

Lorenzo Pellis is a Reader in Applied Mathematics at The University of Manchester, School of Mathematics. His research focuses on mathematical models for infectious disease dynamics, including the spread of infectious diseases in populations with social structures and multiscale models. He is particularly interested in the epidemiological and evolutionary consequences of co-infection. Pellis uses a range of mathematical tools, including ordinary differential equations, integral equations, and stochastic processes, to analyze disease transmission. His work also involves statistical methods for parameter estimation and Bayesian statistics. He has held postdoctoral positions at Imperial College London and the University of Warwick and is currently continuing a Sir Henry Dale Fellowship at The University of Manchester.

Lorenzo Pellis is a researcher specializing in epidemic modelling, with a focus on understanding infectious disease dynamics within the context of global health. His work explores the impacts of climate change on plant diseases and the challenges in modelling epidemics using network, metapopulation, and deterministic approaches. Pellis has contributed to studies on the effectiveness of interventions for pandemics, including the role of schools in the spread of COVID-19 and the development of exit strategies. His research also addresses the complexities of estimating reproduction numbers and incorporating social structures into epidemic models. His publications highlight the importance of data-driven methods in predicting and managing infectious disease outbreaks.