Computational Biology and Bioinformatics (CBB) at Duke University is an integrative, multi-disciplinary Ph.D. program that trains future leaders at the interdisciplinary intersection of quantitative and biomedical sciences.
CBB brings together 55 faculty from 18 departments—including computer science, statistics, mathematics, physics, engineering, biology, chemistry, and medical departments—to conduct cutting-edge research across a wide range of topics in computational biology and to prepare students to engage in innovative solutions to modern problems in the biomedical sciences.
CBB provides high-quality training in both quantitative and biomedical sciences through coursework; research rotations; journal clubs; weekly seminars; and hands-on mentoring from advisors, co-advisors, and dissertation committees. Students are trained to work independently and as part of collaborative teams. They learn to conduct research responsibly, with a commitment to data sharing and reproducible analysis, and they have professional development and teaching opportunities as part of their individual development plans.
Elizabeth Hauser, Professor in the Department of Medicine with secondary appointments in Biostatistics and Bioinformatics, Statistical Science, and Nursing, is a Statistical Geneticist with graduate degrees in Biostatistics and Epidemiology. Her research interests include statistical methods development for the analysis of complex genetic traits, genetic analysis of family data, identification of gene-environment interactions, and integrated analysis of metabolomics and genomic data. She has worked on studies of cardiovascular disease, diabetes, kidney disease, aging, and cancer.