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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds — including those interested in human evolution, building new genomic tools, or analyzing
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genetics, genomics, computational biology, biochemistry, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds
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are interested in linking selectional and mutational landscapes to patterns of genetic variation associated with human traits and diseases. We do this by integrating evolutionary models with GWAS, biobank, and