Learning from molecules and phylogenies


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We are developing new analytical tools for deriving mathematic distances between tree and graph structures under statistical models. Check out our recent study in which we developed a new approach for computing probabilistic distances between trees.

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We are interested in developing new bioinformatics tools for more accurate statistical inference of whole genome data. See our recent publications in Bioinformatics, Molecular Phylogenetics & Evolution and MethodsX

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Phylogenetic inferences requires specification of a statistical model describing change in variables (i.e., traits) over time. These models make a number of assumptions that may (or may not) be appropriate for empirical datasets sampled real data. We have initiated a number of studies that target these questions. Check out our recent study in Systematic Biology that evaluates the impacts of Darwinian adaptation