The doctoral program in computational and integrative biology provides in-depth research training with internationally recognized faculty in the Center for Computational and Integrative Biology. Students will have a range of undergraduate degrees, including mathematics, computer science, physics, chemistry, and biology. Doctoral students will be required to demonstrate the capability to make a significant original interdisciplinary research contribution to the study of biological systems, and to present and defend this contribution in an oral defense.
- A transcript showing the completion of an undergraduate degree in one of the natural sciences, mathematics, computer science or engineering. Students with a master’s degree in one of these areas will also be considered.
- Three letters of reference
- Personal statement
- GRE scores (General Test required; Subject Test recommended)
- TOEFL scores are required of all foreign students having English as a second language.
Application Deadline: February 1st
Minimum of 70 total credits
- Completion of a minimum of 30 graduate level course credits and 40 research credits
- Completion of the Ph.D. qualifying exam
- Completion and oral defense of a thesis dissertation on original research
- Developmental biology and cell signaling
- Enhancer analysis and gene regulatory networks
- Structural modeling of proteins
- Biological rhythms (circadian and ultradian)
- Biofuels and sustainable energy
- Predictive toxicology and pharmacology
- Movement of large groups and complex systems
Faculty and Research Areas
The faculty associated with the computational and integrative biology program is comprised of an extensive, interdisciplinary group of scholars from the fields of biology, chemistry, physics, mathematics, computer science, and psychology. Please refer to the program’s website for a complete listing.
The Center for Computational and Integrative Biology seminar series offers interesting presentations related to research in computational and integrative biology. The presentations reflect the types of collaborative research being done at the center and provide an opportunity to come together as a community for informal discussions and conversation.