Nathan Sheffield develops computational methods for analyzing large-scale genomic data, particularly focusing on epigenomics, chromatin accessibility, and regulatory genomics. His lab creates innovative software tools and pipelines for processing, analyzing, and visualizing high-throughput sequencing data, with applications in understanding gene regulation, cellular differentiation, and disease mechanisms.