People in the Computational and Molecular Population Genetics (CMPG) lab use molecular techniques, theoretical developments, and computer simulations to reconstruct the demographic history of populations and species from genetic data, and to test between alternative evolutionary scenarios.
We explore the genomic diversity of voles and humans in order to discover which genes have recently responded to selection, for instance to adapt to new environments.
We are also interested in quantifying the effect of range expansions and colonisation processes on genetic diversity, since these demographic events can lead to molecular signatures resembling those of selection.
We also develop and maintain computer programs to study and simulate the genetic diversity of populations, infer demographic parameters under complex scenarios, and detect loci under selection from genome scan.
The CMPG lab is affiliated to the Swiss Institute of Bioinformatics.
New post-doc position open on January 2020
A 2+ years post-doc position is available from January 15th 2020 at the University of Berne to develop new methodologies to study the impact of past range expansions on whole genome diversity. The developments will be applied to the analysis of ancient and modern genomes in a spatially explicit framework.
See linked PDF for more information on project, position and requested profile.