Our research space is defined with evolutionary biology and systems biology axes. We study gene sets, gene groups, biological pathways, and genetic interaction networks integratively.

More specifically, we develop computational tools and statistical tests that enable us to infer the parameters of models of evolutionary process that shapes genomic variability within and between individuals, populations, and species. We apply theories to genomic diversity and divergence data in order to search for the signatures of selection in the genomes of different organisms. We also study evolutionary innovation, network properties of disease genes, and evolution of gene expression.