Students interested in computational biology will learn how to apply computer science, statistics, and mathematics to problems in biology. Computational biology spans a wide range of fields within biology, including genomics/genetics, biophysics, cell biology, biochemistry, and evolution.
As a computational biologist, much of your work would be the analysis of molecular data, such as bio sequences, three-dimensional protein structures, gene expression data or molecular biological networks. You could use this data to address a wide variety of problems, including the identification of disease-causing genes, the reconstruction of the evolutionary histories of species and the unlocking of the complex regulatory codes that turn genes on and off. Computational biologists can also work with non-molecular data, such as clinical or ecological data.
Associated Faculty:
- Daniel Nicolas Anstett
- Sumanta Basu
- James G. Booth
- Adam Boyko
- Ilana Lauren Brito
- Edward S. Buckler
- Casey Lu Cazer
- Andrew G Clark
- Thomas A. Cleland
- Charles G. Danko
- Iwijn De Vlaminck
- Erik David Enbody
- David James Field
- Katie Gold
- Megan Ann Greischar
- Giulia Guidi
- Andrew Hein
- Jaehee Kim
- Jon M Kleinberg
- Amy Frances Kuceyeski
- Dan A Landau
- Christiane Linster
- John T Lis
- Chris Mason
- Philipp Messer
- Jason G. Mezey
- Gaurav Dilip Moghe
- Shaila Ahsan Musharoff
- Christopher R. Myers
- Matt Pennell
- Benjamin F. Pugh
- Hudson Kern Reeve
- Kelly R Robbins
- Frank C. Schroeder
- Praveen Sethupathy
- David B Shmoys
- Adam C. Siepel
- Ayshwarya Subramanian
- Fei Wang
- April Wei
- Xiaomu Wei
- Martin Timothy Wells
- Xiangtao Xu
- Haiyuan Yu
