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.

Main publications 2018

  • Moeller S et al.
    The impact of the tree prior on estimating clock rates during epidemic outbreaks.
  • Stadler T et al.
    The fossilized birth-death model for the analysis of stratigraphic range data under different speciation concepts.
    J Theo Biol.
  • Silvestro D et al.
    Closing the gap between palaeontological and neontological speciation and extinction rate estimates.
    Nat Commun.

Find out more about the Group’s activities


University basel

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

Domains of activity:

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

Domains of application:

  • Basic research
  • Medicine and health