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 2020

  • Scire J et al.
    Reproductive number of the COVID-​19 epidemic in Switzerland with a focus on the Cantons of Basel-​Stadt and Basel-​Landschaft
    Swiss Med Weekly, 10.4414/smw.2020.20271
  • Müller NF et al.
    Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses
    PNAS Proc. Nat. Acad. Sci., 10.1073/pnas.1918304117
  • Gupta A et al.
    The probability distribution of the reconstructed phylogenetic tree with occurrence data
    Journal of Theoretical Biology, 10.1016/j.jtbi.2019.110115

Members

University basel

Tanja Stadler
Computational Evolution Group
D-BSSE, ETH Zurich, Basel
Group Webpage

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Domain(s) of activity:

  • Evolution and phylogeny
  • Biostatistics
  • Evolutionary biology
  • Infectious diseases
  • Mathematical modelling
  • Next generation sequencing
  • Phylogeny
  • Phylogenetic tree analysis (natural selection)
  • Single-cell biology
  • Software engineering

Domain(s) of application:

  • Basic research
  • Medicine and health

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