His research is at the interface of mathematics, statistics, and computer science with biology and medicine. His interests range from mathematical foundations of biostatistical models to evolutionary modeling and clinical applications in oncology and infectious diseases. He has developed several computational methods for the analysis of deep sequencing data to infer the genetic composition of virus populations.