Nathan Sheffiled holds a joint appointment with the Department of Public Health Sciences and the Department of Biomedical Engineering at the School of Engineering, where he is an Assistant Professor. His research interests include computational biology and bioinformatics, biomedical data sciences, machine learning, epigenomics, gene regulation, and chromatin high-performance computing.
Sheffield’s research during his PH.D. focused on pattern recognition in gene regulation in primates and among human cell types. Following his PH.D., Sheffield worked as a Postdoctoral Fellow in Christoph Bock’s Lab at the Center for Molecular Medicine in Vienna. He then completed a fellowship at Stanford University in Howard Chang’s lab. Sheffield also created a scientific writing web resource at Duke University during his time as a PH.D. student.
Sheffield earned his PH.D. in Computational Biology from Duke University and his B.S. in Bioinformatics from Brigham Young University.
