I want to help understand where biodiversity comes from and where it might be going in a changing world. To understand the outcomes of evolutionary diversity in the broad scale we have to represent it in silico, and develop the data sets, tools, algorithms, hypotheses and tests to make sense of it all.
comparative genomics, big data, computational biology, open source, emergent characters, phyloinformatics, comparative analysis
My main research interest is to understand the processes that generate patterns of biodiversity in space and time across large groups of species.
I seek to use open data integration, phylogenetic inference, divergence data estimation, and the comparative analysis of complex data to characterize the patterns of diversity and test hypotheses of the underlying processes of evolution. I do this in collaborative settings where I contribute my expertise in open source scientific software development, algorithm development, and high performance computing.
A selection of the topics I am working on currently.