Carnegie Mellon University


Bioinformatics is the name given to statistical and computational approaches used to glean understanding from large data sets in molecular biology. Recent developments in genomic and molecular research technologies, combined with developments in information technologies have produced a tremendous amount of excitement in the research community. Major research efforts include genome-wide association studies, the study of copy number variation, gene finding, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution. Statistics faculty interested in computational biology often work in collaboration with the Computational Biology Department at Carnegie Mellon University or the Computational Genetics Program at University of Pittsburgh Medical School.

Department Members with this Research Interest

4 bios displayed.

Kathryn  Roeder

Kathryn Roeder

UPMC Professor of Statistics and Life Sciences

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Sam Ventura

Sam Ventura

Affiliated Faculty

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Lab Group