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 doctoral 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 four possible tracks: computational genomics, biological sciences, molecular modeling and applied mathematics and statistical genomics. The program requires a senior capstone experience that pairs students and faculty in creative research collaborations.
Students in this concentration will:
Students enrolled in the computational biology concentration will complete a research project in their senior year under faculty supervision. The themes of such projects evolve with the field and the technology, but should represent a synthesis of the various specialties of the program. A minimum of one semester of independent study is required (such as BIOL 1950 or CSCI 1970), although many students may conduct a full year of independent study.
The requirements for being awarded Honors in Computational Biology are largely dependent upon the Advising faculty member’s home department. If a student is in the Computer Science track, they are held to the standards of the CS department, the same for Applied Mathematics & Statistics, and Biological Sciences.
Any deviation from these rules must be approved by the director of undergraduate studies, in consultation with the student's advisor.
This concentration allows you to address the following Liberal Learning goals:
Alumni with degrees in Computational Biology have gone on to careers in management consulting, Bioinformatics and Quantitative Biology research, medicine, and in health technology fields.