Course Overview

The Computational Biology (Graduate) program at Cornell University is designed to train students in the application of computational methods to solve complex biological problems. The program emphasizes interdisciplinary approaches, integrating biology, computer science, mathematics, and statistics to address challenges in genomics, bioinformatics, and systems biology. Unique features include access to cutting-edge research opportunities and a focus on developing skills in data analysis, modeling, and algorithm development.

Career Prospects

Graduates of this program are well-prepared for careers in academia, industry, and government sectors. They often contribute to advancements in biotechnology, pharmaceuticals, and personalized medicine, leveraging their expertise in computational tools and biological systems.

Key Faculty and Staff

The program is supported by distinguished faculty from the Department of Computational Biology, including experts in bioinformatics and systems biology. Specific names and titles are available on the university's official department page.

Unique Facilities and Partnerships

Students benefit from access to state-of-the-art computational resources and collaborations with leading research centers at Cornell, such as the Cornell Center for Advanced Computing. Partnerships with industry and other academic institutions provide additional opportunities for research and professional development.