معرفی
Prof. Lorenzo Pellis is a Professor of Mathematical Biology and Statistics at the University of Manchester’s School of Mathematics. His research focuses on infectious disease dynamics, particularly using mathematical models to understand transmission patterns, pathogen evolution, and public health interventions. He holds a Sir Henry Dale Fellowship and leads projects on multi-scale epidemiological models, including co-infection dynamics. His work integrates ordinary differential equations, stochastic simulations, and Bayesian statistical methods to inform policy, such as pandemic response strategies for SARS-CoV-2 variants. He collaborates with institutions like the UK Health Security Agency and Imperial College London, and his research bridges theoretical models with real-world data analysis.
Education:
- Doctor of Philosophy (PhD) in Epidemic Models from Imperial College London
- 4-year degree in Mathematics from Università di Trieste
Research Interests:
Pellis specializes in modeling infectious diseases within socially structured populations, including household and age-based networks. His current projects address:
- Multi-scale models linking within-host viral dynamics to population-level transmission
- Statistical methods for parameter estimation in epidemiological models
- Analysis of SARS-CoV-2 variants, including Omicron and their impact on vaccination strategies
Key Projects:
- Lead researcher in the Mathematical Epidemiology Group at Manchester
- Collaborative work on UK Health Security Agency’s pandemic response models
- Development of consensus forecasting tools for hospital admissions during the pandemic
Labs/Teams:
He contributes to interdisciplinary teams at Manchester, Warwick, and Imperial College, focusing on computational epidemiology and data-driven public health strategies.
