معرفی
Lloyd Chapman serves as a Lecturer in the School of Mathematical Sciences within Lancaster University's Faculty of Science and Technology. His research bridges statistical methodology and infectious disease dynamics, with emphasis on epidemic modeling and public health applications.
His primary research interests include:
- Bayesian inference methods for epidemic models
- Spatiotemporal modeling of infectious diseases
- Individual-level disease transmission modeling
- Computational statistics for public health
Dr. Chapman's publication portfolio demonstrates consistent focus on neglected tropical diseases (particularly leishmaniasis) and pandemic influenza/COVID-19 modeling. His work frequently employs advanced statistical techniques including data augmentation MCMC and particle MCMC to address complex transmission dynamics. Recent publications show increasing emphasis on asymptomatic infection reservoirs and spatial heterogeneity in disease transmission.
As a supervisor within the STOR-i Centre for Doctoral Training, he mentors PhD students including James Neill and Lanya Yang in biostatistics and computational statistics. Current projects include "Modelling and inference of seasonal flu transmission to optimise flu vaccination" (2024-2026). He actively contributes to the Bayesian and Computational Statistics research group and the Biostatistics team.
