Rate My Professor Chris Jewell

Jewell’s academic interests centre on inference for infectious disease models, food-borne disease source attribution, high-performance computing for biostatistical applications, and GPU programming. He specialises in Bayesian and computational statistics, stochastic spatial metapopulation epidemic models, and data augmentation for epidemic modelling, with applications to avian influenza, Salmonella circulation, foot-and-mouth disease, schistosomiasis, and antimicrobial resistance. His contributions earned him the Lancaster University Staff Award (2021), SPI-M-O Award for Modelling and Data Services (2022), and Weldon Memorial Prize (shared, 2022). Jewell is an editorial board member of the Equine Veterinary Journal (since 2015), a member of the Scientific Pandemic Influenza Group on Modelling (SPI-M), the Office for National Statistics, the Royal Statistical Society, and the Royal College of Veterinary Surgeons. Key publications include “A modelling assessment of the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain” (PLoS Computational Biology, 2026, with C. N. Davis et al.); “Scalable calibration of individual-based epidemic models through categorical approximations” (Journal of the American Statistical Association, 2026, with L. Rimella et al.); “Circulation of Salmonella spp. between humans, animals and the environment in animal-owning households in Malawi” (Nature Communications, 2025, with C. N. Wilson et al.); “Controlling endemic foot-and-mouth disease: Vaccination is more important than movement bans. A simulation study in the Republic of Turkey” (Infectious Disease Modelling, 2025, with G. Guyver-Fletcher et al.); and “Development of a dynamical model to enhance understanding of epidemiology of schistosomiasis in school-aged-children” (Scientific Reports, 2025, with A. L. Reed et al.). He supervises PhD students through the STOR-i Centre for Doctoral Training and other programmes.