|  | |  | | Research Interests:I am interested in statistical and computational methods for inference from genetic data. Most of the methods I work on are directly relevant to management and conservation of fish species, however, since the methods I develop involve genetic principles shared across many taxa, they are also applicable to many other species. At present, much of my work is directed toward the use of single nucleotide polymorphisms (SNPs) for fisheries management. We are particularly interested in the use of SNPs for large-scale parentage inference and for genetic stock identification in mixed-stock fisheries. | Education:- Ph.D. Quantitative Ecology and Resource Management, University of Washington, 2001
- M.S. Fisheries, University of Washington, 1998
| Additional Information:Curriculum Vitae
Software:
SPIP
SPIP simulates the transmission of genes from parents to offspring in a population having demographic structure defined by the user.
CoNe
CoNe computes the likelihood of Ne given data on two temporally spaced genetic samples.
FPG (snpSumPed and TrioTests)
snpSumPed and TrioTests are used to compute false positive and false negative rates for SNP-based parentage inference.
gsi_sim
gsi_sim is useful for estimating the expected accuracy of genetic stock identification given genetic baseline samples from different source populations.
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