What we do

We develop statistical and computational methods to answer biological questions from big data, from genomic sequence data to images. Our work is motivated by both the wealth of biological data currently being generated, as well as by the observation that dedicated models are often required to answer long-standing questions in biology.

We work closely with our collaborators from many areas of biology and interact equally closely with research groups in statistics and computer science to push our approaches beyond the state-of-the-art in the field. A particular focus of our work is on the analysis of low-depth sequencing data, including ancient DNA data, which we use to characterize human (pre-)history and to inform nature conservation.

Find out about the Group’s activities

Main publications 2020

  • Burger J et al.
    Low Prevalence of Lactase Persistence in Bronze Age Europe Indicates Ongoing Strong Selection over the Last 3,000 Years
    Cur Biol, 10.1016/j.cub.2020.08.033
  • Bresadola L et al.
    Estimating and accounting for genotyping errors in RAD‐seq experiments
    Molecular Ecology Ressources, 10.1111/1755-0998.13153
  • Aebischer T et al.
    Apex predators decline after an influx of pastoralists in former Central African Republic hunting zones
    Biol Cons, 10.1016/j.biocon.2019.108326


university fribourg

Daniel Wegmann
Statistical and Computational Evolutionary
Biology Group
University of Fribourg
Group Webpage

Domain(s) of activity:

  • Evolution and phylogeny
  • Biostatistics
  • Evolutionary biology
  • GWAS
  • Human genetics
  • Machine learning
  • Next generation sequencing
  • Paleogenomics
  • Population genetics
  • Software engineering

Domain(s) of application:

  • Basic research
  • Medicine and health
  • Ecology