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Research Overview

Our research leverages genome-scale datasets in a phylogenomic framework to better understand the macroevolutionary forces that drive diversification and differentiation across species. We achieve this primarily with computational approaches, spanning theory, statistical methods development, and bioinformatic analyses of empirical genomic data. Of particular interest are the consequences of non-treelike evolutionary processes, such as hybridization and introgression, for genomic and phenotypic variation across species. We are also interested in the genome itself as a trait that diversifies across species, through processes such as chromosomal rearrangement, sex chromosome evolution, and the evolution of gene expression. Visit the lab website for more information.

Research Interests

• Phylogenomics
• Phylogenetic methods
• Hybridization and introgression
• Genome evolution
• Evolution of gene regulation
• Convergent evolution
• Computational biology