Institute of Ecology and Evolution
University of Bern
Phone: +41 31 631 30 31
|2012-||Director of the Institute of Ecology and Evolution, University of Bern|
|2008-||Group leader at the Swiss Institute of Bioinformatics (SIB)|
|2001-||Professor of Population Genetics: Institute of Ecology and Evolution, University of Bern|
|06-08||Head of Biology Department, University of Bern|
|95-01||Maître de recherche et d'enseignement, Dept.of Anthropology, University of Geneva|
|91-95||Maître assistant, Dept. of Anthropology, University of Geneva|
|90-91||Post-doc, Center for Theoretical and Applied Genetics, Rutgers University|
|89-90||Associate professor, Dept. of Biological Anthropology, Musée de l'Homme, Paris.|
|88-89||Assistant, Dept.of Anthropology, University of Geneva|
|83-88||Ph.D. studies, Dept.of Anthropology, University of Geneva|
|85-86||Certificate in Numerical Computing, University of Geneva|
|79-83||Biology undergraduate studies, University of Geneva|
I am interested in the development of computational methods to understand evolutionary processes at the population and species level, for instance to study how past climatic and environmental changes have influenced the pattern of genetic diversity of a given species, or to detect evidence of local adaptations from genomic information.
I have been recently studying the effect of complex demography on the molecular genetic diversity of a species, for instance such as after a spatial expansion in a heterogeneous environment. I am therefore investigating how various aspects of its genetic diversity are influenced by historical and spatial constraints, and how these effects contrast with those of selection. We are thus aiming at designing better tests of selective neutrality, taking into account the potentially complex demographic history of a species.
I am also involved in the development and the application of approximate Bayesian computations (ABC) methods, which rely on massive computer simulations, to reconstruct the past demography of a species from its genetic diversity, and to test among various alternative evolutionary scenarios. We hope to extend this approach to estimate patterns and intensities of selection at the genomic level. These developments should be applied to modern humans and common voles, or other invasive species.
I am also participating to the analysis of gene expression data in various fish species, with the aim to detect genes involved in the control of life history traits (brown trout) or in susceptibility to diseases (white fish).
I am finally devoting quite a lot of time to the maintenance and extension of various computer programs listed here, including a new version (3.5) of the program Arlequin for the analysis of population genetics data.