We are a dry lab, using a variety of approaches from population genetics in order to study fundamental evolutionary processes.
This work can be summarized in to three primary research areas:
(i) Population Genetic Theory & Method Development: This line of research involves developing theory, as well as likelihood and approximate Bayesian based approaches, for quantifying and untangling the evolutionary pressures driving populations.
(ii) Viral Population Genetics: We have a major interest in the evolution of drug resistance in influenza virus, with this work strongly relating to our theory and method development as well with a focus being the investigation of population genetic inference schemes for time-sampled polymorphism data. We also work heavily in human cytomegalovirus (HCMV), working to unravel the demographic and selective processes underlying infection.
(iii) Experimental Evolution: Finally, we work heavily in experimental evolution systems where we can control aspects of demography experimentally, and artificially generate mutations, in order to study the shape of the distribution of fitness effects (DFE) and the underlying fitness landscapes with much greater clarity than is possible in natural populations.