Statistical biology refers to statistical physics — the effort to explain the emergent properties of large composite systems (e.g. gas or liquids) from interactions between their constituents. To extend this framework to biological problems, we focus on the process that shapes living systems: Evolution.

Inference from evolutionarily related systems

How to describe biological systems with few relevant parameters ? We look for simplified representations by analyzing evolutionary conservation and coevolution in large datasets of related (homologous) biological sequences.

Protein sequences

Applied to proteins, this approach led us to propose that independent subsets of amino acids with no obvious structural signature can control different functional properties of a same protein domain (collaboration with the group of Rama Ranganathan).