• Computation has become essential to biological research. Genomic databases, protein databanks, MRI images of the human brain, and remote sensing data on landscapes contain unprecedented amounts of detailed information that are transforming almost all of biology. The computational biologist must have skills in mathematics and computation as well as in biology. A key goal in training is to develop the ability to relate biological processes to computational models.
  • The Ph.D. in Computational Biology is intended for students who are interested in advancing studies at the interface of biological sciences and computer science. The program is designed to allow rigorous pursuit of both disciplines for the purpose of advancement of research that lies directly at the interface. 
  • The Cornell program has a strong emphasis on interdisciplinary research that bridges the gap between diverse biological disciplines, from behavior and ecology to molecular biology, to computational fields including algorithm development, numerical analysis and computationally intensive statistics. The focus is on advancement of fundamental research through recognition of common needs and goals of researchers and students working on computationally intensive aspects of biological research.