The Molecular Systems Evolution research group combines systems biology and molecular evolution / population genetic approaches in order to understand the mechanisms of natural selection at multiple levels. The group research involves "omics" analyses, from atoms in molecules (Structural bioinformatics) to genome in populations (Population genomics). We develop statistical models to analyse biological data in an evolutionary framework. Our current interests include (i) how structural constraints in biomolecules shape the patterns of sequence evolution and (ii) the development of new models for population genomic analysis. The group recently focused on the evolution of stochastic gene expression and the evolution of the regulome, using single-cell transcriptomics data.