David Gerard

David Gerard is an Associate Professor of Statistics at American University (2024–present) and previously served as an Assistant Professor there from 2018 to 2024. He holds a PhD in Statistics from the University of Washington (2015), an MS in Statistics from The Ohio State University (2012), and dual BS degrees in Mathematics and Molecular Genetics from The Ohio State University (2010). His research focuses on statistical methods for polyploid genetics, including segregation distortion analysis, equilibrium testing, and Bayesian approaches for random mating. He has contributed to genotyping methods for polyploids and RNA-seq data analysis, with specific attention to addressing genotype uncertainty and batch effects. His work emphasizes reproducibility, linking code with data via Makefile-driven pipelines. Gerard has developed multiple R packages such as segtest, ldsep, and updog, and maintains an active GitHub presence.