Paul Hime
2021
2019
2018
2017
2017
Paul Hime: Codon-based Models of Molecular Evolution and Bayes Factors Reveal Genome-wide Conflict Deep in the Amphibian Tree of Life
Blue Waters Symposium 2017, May 16, 2017
Blue Waters Graduate Fellow: Paul Hime
Sep 27, 2016
advances in genome sequencing technologies have opened up exciting new avenues for phylogeneticists to survey broad swaths of the genome and to untangle some of the difficult branches in the Tree of Life. This new flood of genetic data itself is necessary, but not sufficient, to answer some of the most thorny evolutionary questions. As the amount of data available to evolutionary biologists has expanded, so too have the computational challenges to appropriately modeling DNA evolution between organisms. My doctoral research in the Weisrock Lab at University of Kentucky uses new computational and statistical approaches to reconstruct evolutionary relationships. I utilize amphibians (frogs, salamanders, and caecilians) as a model system in which to explore these exciting questions. Access to extremely powerful supercomputing resources is vital to this research, and the Blue Waters Fellowship through the NCSA provides unprecedented opportunities to advance this work. ... the NSF-funded Blue Waters supercomputer will allow me to probe aspects of phylogenetics which have previously been inaccessible due to computational constraints.
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Ten PhD students from across the country selected as Blue Waters Graduate Fellows
Apr 19, 2016
Ten outstanding computational science PhD students from across the country have been selected to receive Blue Waters Graduate Fellowships for 2016-2017. The fellowship program, now in its third year, provides substantial support and the opportunity to leverage the petascale power of National Center for Supercomputing Applications (NCSA) at the University of Illinois’s Blue Waters supercomputer to advance their research. The awards are made to outstanding PhD graduate students who have decided to incorporate high performance computing and data analysis into their research.
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