I am a post-doctoral researcher working in the Mathematics Institute, and a member of the Zeeman Institute: Systems Biology & Infectious Disease Epidemiology Research (SBIDER) group. I am working with Mike Tildesley and Matt Keeling on modelling the spread of disease (further details below), as well as collaborating with other members of the Life Sciences, Mathematics and Medical School departments.
I am also a member of JUNIPER (Joint UNIversities Pandemic and Epidemiological Research), a consortium of epidemiological modelling groups from eight universities: Bristol, Cambridge, Exeter, Lancaster, London School of Hygiene and Tropical Medicine (LSHTM), Manchester, Oxford and Warwick. The JUNIPER consortium is funded by UK Research and Innovation (UKRI). JUNIPER aims to embed scientific activities within an open and collaborative framework (including public outreach so that scientific assumptions and findings are effectively communicated), build national capacity and contribute to training the next generation of applied epidemiological modellers.
Key topics of interest are:
- Mathematical epidemiology
- Control of infectious diseases
- Bayesian inference
- Public health
Previous and current work has undertaken problems in the following areas of mathematical epidemiology:
Social contagion: Spread of behaviour-linked health problems are amenable to being represented with methodological approaches typically used to model infectious diseases. We explore this with regards to depression, developing novel models that exploit the dynamical behaviour of mood over time to ascertain which mood states spread on social networks, via a contagion-like mechanism, and which do not.
Preprints and publications: See https://edmhill.github.io/publications/
Conferences and Scientific Meetings: See https://edmhill.github.io/talks/
Professional activities: See https://edmhill.github.io/prof_activities/
Public engagement: See https://edmhill.github.io/publicengagement/
Media Coverage: See https://edmhill.github.io/media_coverage/