Associate Professor

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Degrees: Ph.D. Statistics, University of Washington, June 2015.

M.S. Statistics, The Ohio State University, June 2012.

B.S. Mathematics, The Ohio State University, June 2010.

B.S. Molecular Genetics, The Ohio State University, June 2010.
Bio: David obtained a bachelor's in Mathematics and Molecular Genetics, followed by a master's in Statistics at The Ohio State University before pursuing a PhD in Statistics at the University of Washington. There, he studied multivariate analysis of tensor-formatted datasets under Peter Hoff. Following his PhD, he worked with Matthew Stephens at the University of Chicago as a postdoctoral scholar, studying RNA-seq differential expression analysis in the presence of unobserved batch effects. He started his position at American University in 2018. There, he has developed a growing interest in polyploid genetics, where there are a lot of potential uses of hierarchical modeling and multivariate analysis.

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