Dr Leon Danon
Senior Lecturer in Data Analytics
Primary Care, Population Health and Health Services Research
Skills Development Fellowship Vision
A Skills Development Fellowship will be highly dependent on the fellow. Successful candidates should already show some experience in at least one area of quantitative or biomedical application, accompanied by a healthy curiosity about others. I see the fellowship as providing a range of ideas and projects that the fellow could choose from and really get their teeth into, drawing on the expertise of the sponsors and mentors at Exeter. The range of projects should broaden the perspective of the fellow, while each project they undertake should offer the opportunity to develop significant depth of knowledge in a particular topic.
Although the initial level of autonomy will depend on the stage of the fellow and the working style of both sponsors and fellow, I would expect and encourage greater levels of independence over time. Fellowships should involve maintaining and building upon existing networks of collaboration related to projects/sponsors as well as developing their own independent collaborations geared towards their independent research. Ultimately, the goal of a fellowship is to provide a platform to transition from a relatively junior post through to winning own funding and, if desired, a permanent academic position.
- MSci in Physics, Imperial College
- PhD in Statistical Physics of Complex Networks (Community Detection), University of Barcelona
- Post-Docs at Warwick University, Harvard School of Public Health
- Visiting positions at Zoology, Oxford and Johns Hopkins School of Public Health
- Leverhulme Early Career Research Fellow at University of Warwick
- Lecturer in Applied Maths at Queen Mary University of London
- Lecturer in Mathematical Modelling of Infectious Disease, Bristol
Collective human behaviour, complex systems, complex networks, infectious disease epidemiology, mathematical modelling of biological processes especially in population dynamics/ecology and epidemiology (e.g. coupled Ordinary Differential Equations, metapopulation models, stochastic models, master equation approaches, individual level/agent-based modelling). Statistics, model fitting, Bayesian approaches, analysis of time series, design and analysis of clinical studies, large scale data processing and analytics. Applications in collective human behaviour, infectious disease epidemiology, surveillance and mitigation, behavioural contagion, financial time series, social contact networks.
- Ellen Brooks-Pollock, Leon Danon, Defining the Population Attributable Fraction for Infectious Diseases, International Journal of Epidemiology, 46:3,1, 976-982, doi:10.1093/ije/dyx055 (2017).
- Leon Danon, Thomas A. House, Jonathan M. Read, Matt J. Keeling, Social encounter networks: collective properties and disease transmission, J. R. Soc. Interface 9:76 2826-2833, doi:10.1098/rsif.2012.0357, (2012).
- Leon Danon, Jordi Duch, Albert-Diaz-Guilera and Alex Arenas, Comparing community structure identification, J. Stat. Mech., P09008, doi:10.1088/1742-5468/2005/09/P09008, (2005).
Ongoing Projects & Grants
Transmission of Pneumococcus (TOP) study. Use of mobile phone call data records for infectious disease surveillance, modelling and control. Quantifying impacts of interventions. Behavioural contagion in antibiotic prescribing. Understanding the ecology of co-circulating infections. Evolution of community structure in musician networks.
- Prof Adam Finn – Bristol University
- Dr Ymir Vigfusson – Emory University
- Prof Kim Christensen – Imperial College
- Dr Ellen Brooks Pollock – Bristol University
- Prof Deirdre Hollingsworth – Warwick
- Prof Matt Keeling – Warwick
- Dr Mike Tildesley – Warwick
- Dr Jonathan Read – Lancaster
- Prof Steve Leach – PHE
- Dr Ian Hall – PHE
- Dr Caroline Buckee – Harvard University
- Prof Rowland Kao – Edinburgh University
Research Group Connections