Jeffrey Jensen, Ph.D., Assistant Professor
Research in the Jensen Lab focuses on statistical and computational aspects of evolutionary theory and population genetics. The primary research theme of the group is centered around drawing statistical inference from DNA polymorphism data - specifically, describing the processes that determine the amount and distribution of genetic variation within and between natural populations, and between species.
Under this over-arching theme, specific projects range from the development of approximate Bayesian statistics for the estimation of recurrent hitchhiking and demographic parameters, to Neanderthal genomics, to quantifying the evolutionary forces acting on miRNA target sites in Drosophila, to directly inferring the distribution of fitness effects of new mutations from experimental yeast data.
Lab members work on both applied and theoretical problems in fields ranging from population genomics to medical genetics.