I am a Computational Biologist broadly interested in phylogenetics and virus evolution. I develop algorithms and theory for phylogenetic inference on massive genomic datasets. Additionally, I am interested in inferring reticulate evolution (e.g., recombination between RNA viruses) using phylogenetic networks and other approaches.

I hold a Computational Research Biologist position at the National Animal Disease Center, US Department of Agliculture. I model the evolution of influenza A viruses in swine, birds and at the human-animal interface to understand the zoonotic risk associated with these viruses. I build computational tools to improve large-scale phylogenomic modeling of influenza and other organisms. Additionally, I integrate phylogenetics with machine learning to perform in-silico predictions of flu A phenotype, especially the phenotype associated with the pandemic risk.