Project Code
PHS27Br Unwin
Project Type
Dry lab
Research Theme
Population Health Science
Project Summary Download
Summary
This project offers an exciting opportunity to tackle a global health challenge using cutting‑edge statistical and computational methods such as Hawkes Processes. You will develop and apply probabilistic models to uncover how malaria spreads without relying on unreliable travel histories. The project combines real-world data, genetics, spatial modelling, and modern probabilistic programming, giving you the chance to shape new methodology and see it make a tangible impact. You will collaborate with international experts and engage with stakeholders to ensure your work informs elimination strategies. This is ideal for students interested in statistics and data science with meaningful real‑world impact.
Can the project be completed part time?
Yes
Lead Supervisor
Dr Juliette Unwin
Lead Supervisor Email
University Affiliation
University of Bristol
