I'm a population geneticist and computational biologist on the research team at 23andMe. My research interests revolve around empirical and theoretical aspects of computational phylogenetics and population genetics. I did my PhD at UC Berkeley in computational evolutionary biology.
I've developed ancestral state reconstruction and stochastic character mapping functionality in the RevBayes project. In RevBayes I've also worked on state-dependent speciation and extinction models of discrete character evolution. I'm broadly interested in mathematical models of evolution and applying them with Bayesian inference.
Introgression and hybridization are increasingly understood to be important evolutionary processes across the tree of life. I work on models that bridge coalescent and phylogenetic theory to infer ancient introgression and hybridization events.