
Professor Richard Mann
- Position: Professor of Mathematical Ecology & Evolution
- Areas of expertise: bayesian inference; collective behaviour; movement ecology; behavioural ecology; evolution; phylogenetics; palaeontology
- Email: R.P.Mann@leeds.ac.uk
- Phone: +44(0)113 343 8988
- Location: 10.15 (Maths Satellite) EC Stoner
- Website: Personal home page | Googlescholar | Researchgate | ORCID
Research interests
I am interested in human and animal behaviour. My research focuses on how agents learn from the world around them, make decisions and take actions to achieve their goals. In particular, I develop models of collective behaviour, where agents influence each other, and study the emergent effects that make the group different to the individual.
I also study mathematical models of evolutionary dynamics. My research in this area focuses on models of macroevolution – the diversification of different species through time. I develop models for the generation of phylogenies, the patterns of genetic and morphological differences between species, and the expected distribution of fossil evidence in the history of life.
<h4>Research projects</h4> <p>Some research projects I'm currently working on, or have worked on, will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>Qualifications
- DPhil Engineering Science, University of Oxford
- MPhys Physics, University of Oxford
Research groups and institutes
- Statistics
- Applied Nonlinear Dynamics
Current postgraduate researchers
<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>Projects
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<li><a href="//phd.leeds.ac.uk/project/2039-opinion-dynamics-of-rational-agents">Opinion dynamics of rational agents</a></li>