Dr Lloyd Chapman FHEA
LecturerResearch Interests
Bayesian inference for epidemic models, spatiotemporal modelling of infectious diseases, individual-level modelling
PhD Supervision Interests
Bayesian inference methods for epidemic models, e.g. data augmentation MCMC, particle MCMC; spatiotemporal and individual-level modelling of infectious diseases
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Modelling and inference of seasonal flu transmission to optimise flu vaccination (Ellie Foster)
01/10/2024 → 30/09/2026
Research
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STORI: High-dimensional inference for models of antimicrobial resistance transmission in open populations (James Neill)
01/10/2023 → 30/09/2026
Research
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DSI: Inference for multiscale infectious disease dynamics
01/01/1900 → …
Research
Bayesian inference for individual-level epidemic models
Oral presentation
Joint UNIversities Pandemic and Epidemiological Research (JUNIPER) (External organisation)
Membership of board
Bayesian inference for individual-level epidemic models
Oral presentation
Particle degeneracy in fitting high-dimensional epidemic models
Invited talk
British Applied Mathematics Colloquium 2026
Symposium
Non-centered Bayesian inference for individual-level epidemic models: the Rippler algorithm
Invited talk
Non-centered Bayesian inference for individual-level epidemic models: the Rippler algorithm
Invited talk
Non-centered Bayesian inference for discrete-time individual-level epidemic models: the Rippler algorithm
Oral presentation
Forecasting subnational incidence of COVID-19 using publicly available data
Invited talk
Grant review
Review of Award Applications
COVID-19 in French Polynesia
Invited talk
Joint UNIversities Pandemic and Epidemiological Research (JUNIPER) (External organisation)
Membership of network
IDDinf 2024
Participation in workshop, seminar, course
Isaac Newton Institute: Modelling and inference for pandemic preparedness
Participation in workshop, seminar, course
Improving inference methods for epidemic models
Oral presentation
Models of Infectious Disease Agent Study (MIDAS) (External organisation)
Membership of network
STOR-i Centre for Doctoral Training
MARS: Mathematics for AI in Real-world Systems
Bayesian and Computational Statistics, Biostatistics , STOR-i Centre for Doctoral Training
- Bayesian and Computational Statistics
- Biostatistics
- STOR-i Centre for Doctoral Training