Assoc. Prof. David Bryant

Mathematics and Statistics, University of Otago

- affiliated to the Centre for Reproduction and Genomics

email: david.bryant@otago.ac.nz

Biographical information

David Bryant is a mathematician and statistician working on the development and application of models, methods and theory in evolutionary biology. He is the co-author of Neighbor-Net and the SplitsTree software package, the most widely used phylogenetic network tools. David's work has been applied to problems in phylogenetics and population genetics where conventional tree-based models break down. He has recently been developing algorithms and software for evolutionary and demographic inference from multi-species SNP data.

David completed his Ph.D. in 1997 under the supervision of Mike Steel at the University of Canterbury. He was a postdoctoral fellow with David Sankoff (Université de Montréal) and Oliviér Gascuel (Montpellier, France) before taking up a joint mathematics and computer science position at McGill University, Montreal. After obtaining tenure in 2005, David moved to University of Auckland, shifting to Otago in July, 2010.

Further information

University of Otago

Recent publications

Bryant, D. and Tupper, P. Hyperconvexity and tight span theory for diversities. Cornell Unversity Library (submitted).

Bryant, D., RoyChoudhury, A., Bouckaert, R., Felsenstein, J., Rosenberg, N. Exact coalescent likelihoods for unlinked markers in finite-sites mutation models, Cornell Unversity Library (submitted).

Bryant, D., Bouckaert, R., Felsenstein, J., Rosenberg, N., RoyChoudhury, A. Inferring species trees directly from biallelic genetic markers: bypassing gene trees in a full coalescent analysus. Cornell Unversity Library (submitted).

Bryant, D. and Steel, M. 'Bureaucratic' set systems, and their role in phylogenetics. Cornell Unversity Library (submitted).

Siekmann, I., Wagner, L.E., Yule, D., Fox, C., Bryant, D., Crampin, E., and Sneyd, J. 2011. MCMC Estimation of Markov Models for Ion Channels. Biophysical Journal 100:1919-1929.

 

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