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Matrix-analytical methods in population genetics

Understanding the impact of global climate change and implementation of management resources for threatened populations requires detailed knowledge of the genetic and demographic history of these populations. Genetic polymorphism data represent a major resource of information, but the present methods are often limited to large spatial and temporal scales of limited practical interest.

In this project we develop new statistical methods to infer the recent and local evolutionary history of populations. We integrate temporal and spatial processes in an emerging matrix-analytical framework and apply the analysis tools to population genetic data from Occitania in France.


  • Novo Nordisk Foundation: Project Grants in the Natural and Technical Sciences 2022 (DKK 2.261 Million)