Computational biology involves the analysis and discovery of biological phenomena using computational tools, and the algorithmic design and analysis of such tools.
The field is widely defined and includes foundations in computer science, applied mathematics, statistics, biochemistry, molecular biology, genetics, ecology, evolution, anatomy, neuroscience, and visualization.
The Ph.D. program is interdepartmental and the result of a collaboration between the four academic units that comprise the CCMB: Applied Mathematics, Computer Science, Ecology & Evolutionary Biology, and Molecular Biology, Cell Biology & Biochemistry.
The Undergraduate program offers three possible specializations in Computational Biology: Computer Sciences, Biological Sciences, and Applied Mathematics & Statistics. The program requires a senior capstone experience that pairs students and faculty in creative research collaborations.