What we do
In the Computational Evolution Group, we develop phylogenetic tools in order to understand evolutionary processes. Using our phylogenetic methods, we aim to improve our understanding of past evolutionary and population dynamic processes on different scales. We address questions in a number of fields, focusing on epidemiology, public health and medicine, ecology and evolution, and language evolution. In our daily work, we define and analyse stochastic models, implement computational methods, analyse empirical data, and discuss our new insights with clinicians, and public-health policy makers, as well as ecologists and palaeontologists.
Find out about the Group’s activities
Main publications 2019
- Mitov V et al.
Automatic generation of evolutionary hypotheses using mixed Gaussian phylogenetic models
PNAS, doi: 10.1073/pnas.1813823116 - Rasmussen DA and Stadler T.
Coupling adaptive molecular evolution to phylodynamics using fitness-dependent birth-death models
eLife, doi: 10.7554/eLife.45562 - Vaughan TG et al.
Estimating Epidemic Incidence and Prevalence from Genomic Data
Molecular Biology and Evolution, doi: 10.1093/molbev/msz106
