Big data are ubiquitous in genomics and evolutionary biology, at scales from personalized medicine to the global timetree of life. Research in my lab integrates mathematical, computational, and machine-learning techniques into evolutionary biology and biomedicine. We develop methods, models, software, and databases for researching species divergence, genetic diseases, viral spread, and tumor progressions. Our grounding in fundamental biology allows us to address multidisciplinary questions and uncover global patterns in big datasets to decipher fundamental biological processes and develop predictive models. Our innovations are accessible through user-friendly software www.megasoftware.net and databases TimeTree.org. We believe in making data analytics greener and broadening the accessibility, reproducibility, and rigor of scientific research.

More information on the Kumar Laboratory is available at www.kumarlab.net.