Our research at the Laboratory of Virus Evolution (LoVE) has been to apply computational and experimental methods at the intersection of medicine, epidemiology and population genetics to identify the determinants of transmission and evolution at various spatio-temporal scales. We have focused on disease surveillance, genome sequencing and the integration of genomic data with clinical, epidemiological and immunological data that are generated through disease surveillance and laboratory experiments using phylogeny based methods. These include, to investigate factors affecting the diversity and evolution 
of pathogens in their natural reservoirs such as birds and bats; in livestock production systems; to elucidate origins of human pandemics; and to infer factors affecting the transmission of human pathogens as driven by host innate and adaptive immune systems, such as influenza, Enterovirus 71 and Dengue.

A unified framework to study infectious disease dynamics.