Our primary focus is on the Evolutionary analytics of mutations, genomes, and species. The common theme of all our research is the use of comparative analysis to reveal genome differences that are outcomes of natural selection on novel mutations arising in all species during their propagation from generation to generation and in an individual’s lifetime. The resulting patterns of evolutionary conservation and divergence form the basis of a Pattern-Process-Prediction-Products (P4) approach, enabling us to conduct research investigations ranging from establishing the tree of life scaled to time (TimeTree of Life) to forecasting disruptive mutations found in our personal germline and somatic genomes (Phylomedicine).

In these pursuits of biological discoveries, we are also developing new statistical methods and computer algorithms to quickly analyze large-scale datasets in these disciplines. We also develop and disseminate many high-impact software tools (MEGA and myPEG) and databases/iPhone Apps (TimeTree and FlyExpress).