Research interests
I am interested in using population genetic data and theory to reconstruct the recent evolutionary history of populations, and in its applications to molecular ecology, conservation biology and speciation genetics. My research aims at understanding the roles of demography and selection in the structure and divergence of populations. In particular, I am interested in developing inference methods to extract such information from genetic data, and hence my work involves population genetics theory, modeling, statistics and data analysis. For instance, I have developed approximate Bayesian computation (ABC) methods to study population admixture, and full likelihood methods to study population divergence under isolation with migration models. These methods were applied to study the population structure of freshwater fish and lemur species with fragmented habitats, and to study speciation in European rabbits.
Currently, together with Laurent Excoffier, I am developing methods to infer demographic events based on genomic data. This is part of a project to understand the genetic basis of adaptation in deer mice, in collaboration with the groups of Jeffrey Jensen (EPFL Lausanne) and Hopi Hoekstra (Harvard University).
Curriculum vitae
