Powering genomic discovery through computing.

The completion of the human genome project has created an urgent need for advanced computational tools to analyze biological data. Computational molecular biology addresses multiple challenges, ranging from DNA sequence interpretation to protein structure analysis. The field encompasses gene network studies, biological function prediction, and complex cellular computational models.

Cornell University has launched a comprehensive genomics initiative, with the Department of Computer Science playing a central role. Our researchers tackle diverse projects including genetic mapping, advanced sequence analysis, protein structure prediction, and molecular simulation. This work supports Cornell's broader mission to advance genomic science through computational innovation.

Faculty exploring computational biology.

A color photo of a woman holding a glass award.
Carla Gomes
Ronald C. and Antonia V. Nielsen Professor of Computing and Information Science
Carla Gomes
Ronald C. and Antonia V. Nielsen Professor of Computing and Information Science
gomes at cs.cornell.edu
Color portrait of Volodymyr Kuleshov
Volodymyr Kuleshov
Joan Eliasoph, M.D. Assistant Professor of Computer Science
Volodymyr Kuleshov
Joan Eliasoph, M.D. Assistant Professor of Computer Science
vk379@cornell.edu
Color portrait of Kristina Monakhova; woman smiling at camera with chin length hair
Kristina Monakhova
Assistant Professor of Computer Science
Kristina Monakhova
Assistant Professor of Computer Science
monakhova[at]cornell.edu
Color portrait of Haiyuan Yu
Haiyuan Yu
Professor of Biological Statistics & Computational Biology
Haiyuan Yu
Professor of Biological Statistics & Computational Biology
hy299@cornell.edu