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Andy Dahl is part of the statistical genetics methodology group at the University of Chicago's Genetic Medicine department. His work focuses on developing computational methods to discover and characterize genetic heterogeneity in complex diseases, as well as studying gene-environment interactions, epistasis, pleiotropy, and confounder correction. The long-term goal of his research is to use these tools to identify patient subtypes defined by distinct causal biology, clinical presentation, and treatment responses. His methodologies employ statistical genetics, functional genomics, and linear algebra to explore heterogeneity across a variety of complex biological systems, including applications in single-cell genomics and major depressive disorder. Dahl leads a supportive and actively growing research group and invites interested postdoctoral students to join.
Department of Philosophy