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This site provides details of my postdoctoral research in the Huelsenbeck Lab at Berkeley and other things.

Research interests. My primary research interests focus on developing quantitative phylogeny-based methods for exloring differential rates of diversification and associated evolutionary problems, characterizing their statistical performance by means of simulation, and applying these methods to empirical data to explore fundamental evolutionary problems.  Differential rates of diversification underlie myriad evolutionary phenomena, including episodes of prolific cladogenesis, adaptive radiation, key innovation, and mass extinction.  Although they all entail differential diversification rates, these processes nevertheless address profoundly different questions.  Accordingly, my work has included the creation of a diverse array of methods to address a variety of questions, such as “Have lineages diversified under significantly different rates?”, “Along which branches have significant shifts in diversification rate occurred?”, and “Are rates of diversification significantly correlated with a particular historical event?

I am increasingly interested in developing and applying new methods to estimate ancestral ranges and identify episodes of lineage dispersal. My interest in this area is partly motivated by the desire to understand the geographic context of lineage diversification and the consequences of biogeographic events (e.g., dispersal, vicariance) on rates of cladogenesis.

Although seemingly unrelated, my interest in developing and applying new methods for large-scale phylogeny estimation stems from the attractive statistical properties of such trees for the study of diversification rates. This research seeks to develop alternative approaches for estimating phylogenies that combine aspects of supermatrix and supertree strategies.

Ultimately, I hope to contribute to a more unified approach to—and understanding of—the causes and consequences of differential diversification rates, one that incorporates the biological, geographical, and ecological facets of the problem.

huelsenbeck lab home page ib home page berkeley home page Brian R. Moore home page email Brian papers.html