Wesley L. Crouse is a quantitative scientist with a Ph.D. in Bioinformatics and Computational Biology. Crouse is interested in developing and applying cutting-edge methods to analyze large and complex biomedical datasets. Crouse's research experience includes developing statistical approaches for genetic association with gene expression and other biomedical traits in model organisms. Crouse has expertise in Bayesian nonparametric approaches, Bayesian model selection, and generalized linear models, with implementation in the R and Stan statistical computing languages.
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