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BCM - Computational and Mathematical Biology |
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Research interests topOur research interests are in statistical population genetics and evolutionary genomics. Our team develops computational and statistical methods for the inference of population structure, demography and selection from genomic data. Our approaches are mainly based on MCMC, machine learning and approximate Bayesian inference, including geographic data.These approaches aim to provide improved statistical estimation procedures under equilibrium and non-equilibrium processes in population genetics. We also study applications in coalescent theory, the mathematical properties of genealogies and the shape of phylogenetic trees. We distribute the computer programs TESS and POPS which compute individual cluster membership probabilities and admixture coefficients using multilocus genotypes and geographical or environmental variables. Postdoc and PhD positions topIn you are interested in doing research in our group, send me an email. |