Greg Keele, Ph.D.

Postdoctoral Associate

Statistical modeling of proteomic data to better understand protein dynamics as well as provide a more complete picture of the regulation of complex phenotypes.
Dr. Keele completed his doctoral studies in bioinformatics and computational biology at the University of North Carolina at Chapel Hill, developing statistical methods for the design and analysis of experiments of multiparental populations, such as the Collaborative Cross (CC) and the Diversity Outbred (DO) stock in mice. Recently he joined the lab of Dr. Gary Churchill, where he is focused on statistical approaches to model and analyze mass spectrometry shot gun proteomics data. Relatedly, he is interested in the genetic regulation of complex phenotypes, particularly through integrative analysis of multiple levels of data per subject, such as genotype, gene expression, and protein abundance.