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Jonathan Pritchard's research group focuses on the use of statistical and computational methods to address questions in genomics and evolutionary biology. Their work investigates the genetic variation that contributes to phenotypic traits at both the organismal and cellular levels, with particular emphasis on gene regulation and the molecular pathways linking genetic variation to cellular and organismal phenotypes. The lab is engaged in important work related to developing new statistical and computational approaches that yield insights into complex biological data, ultimately contributing to the understanding of how genetic variation impacts evolution. Through a collaborative approach, the lab has produced numerous significant papers and has been instrumental in advancing studies around population structure, history, and natural selection. Pritchard's lab is known for its diverse team, bringing together individuals trained in various fields, who employ both computational and experimental approaches to tackle complex biological problems. The lab's work, including the development of the omnigenic model, continues to push the boundaries of our understanding of genetic architecture and its implications for complex traits.
Stanford University • Stanford, CA, US
Leading a research group focused on statistical and computational methods in genomics.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.