This research lab consists of a group of statisticians, computational biologists, and applied mathematicians developing novel and efficient methodologies to address complex problems in quantitative genetics, cancer pharmacology, molecular genomics, and radiomics (e.g., cancer imaging studies). Our current works are often motivated by issues that arise when attemping to statistically model massive data sets with high-throughput molecular information, particularly as it pertains to functional genomics and cellular-based biological processes. As a group, we look to continue to provide innovative tools that better address key computational hurdles faced when analyzing and dissecting genotypic and phenotypic variation.