Mark Segal, PhD

Professor of Epidemiology and Biostatistics Director, Center for Bioinformatics and Molecular Biostatistics



Dr. Segal focuses on the development and application of statistical methods to address problems in computational biology and genomics. He has devised methods for addressing several aspects of analyzing data deriving from high-throughput biotechnologies, straddling low-level (e.g., pre-processing) to high-level (e.g., linked survival phenotypes, regulatory module elicitation) approaches. He is currently engaged in developing and comparing methods for inferring 3D genome architecture utilizing data from chromatin conformation capture assays.