Mark Segal, PhD
Dr. Segal obtained a BSc (Mathematics) from the University of Western Australia and a PhD (Statistics) from Stanford. He was on the faculty at Harvard before coming to UCSF in 1989. His primary research interests are in bioinformatics and modern regression techniques. His focus is on the development and application of statistical methods to address problems in computational biology and genomics.
Development and application of statistical methods to address problems in computational biology and genomics
Dr. Segal 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.