Ryan Layer

Ryan Layer develops algorithms to decipher large genomic datasets, engaging computational tools to solve biological problems. Dr. Layer holds B.S. and M.C.S. degrees in computer science from Texas A&M University and a Ph.D. in computer science from the University of Virginia. During his graduate studies, Dr. Layer began pursuing projects in the area of computational genomics. He developed two novel algorithms for analyzing large genomic datasets. The Binary Interval Search (BITS) algorithm quickly quantifies the relationships between different genomic features, and the LUMPY software package characterizes structural variation within populations. These tools are now used to identify pathogenic mutations in many different human diseases. Through innovative software, Dr. Layer enables researchers to find quantitative relationships in massive genomic datasets and better understand disease traits.