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 2017

  • Barido-Sottani J et al. BEAST—A Community Teaching Material Resource for BEAST 2, Systematic Biology, Volume 67, Issue 1, 1 January 2018, Pages 170–174
  • Müller NF et al. The Structured Coalescent and Its Approximations, Mol Biol Evol. 34(11):2970-2981.
  • Rasmussen DA et al. Phylodynamics on local sexual contact networks. PLoS Comput Biol 13(3): e1005448.

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
  • Next generation sequencing
  • Phylogeny
  • Single-cell biology
  • Software engineering

Domains of application:

  • Ecology
  • Medicine and health