Extracting biological insights from high dimensional datasets requires novel computational approaches. Computational biology groups in the QBI are developing novel methods based on core computer science techniques such as machine learning, optimization, and graph theory, to address problems in the biological and biomedical domains including whole genome and transcriptome alignments and assembly, predictive modeling of complex phenotypes (e.g. electronic health records, brain imaging), analysis and inference of biomolecular networks (e.g. signaling, metabolic, transcriptional), and integrative analysis of diverse -omic datasets capturing systems-level behavior.
Primary Computational Focus
Silvia Cavagnero
Professor
Gheorghe Craciun
Associate Professor
Corrine Engelman
Associate Professor
Anthony Gitter
Associate Professor
Qiongshi Lu
Assistant Professor
Rob Nowak
McFarland-Bascom Professor
Irene Ong
Assistant Professor
Brian Parks
Assistant Professor
Sushmita Roy
Associate Professor
Steve Schrodi
Assistant Professor
Nathaniel Sharp
Assistant Professor
Melissa Skala
Associate Professor
Daifeng Wang
Assistant Professor
Donna Werling
Assistant Professor
Additional Faculty Interested in Computational Focus
David Anderson
Assistant Professor
Cécile Ané
Associate Professor
Audrey Gasch
Associate Professor
Chris Todd Hittinger
Assistant Professor
Pam Kreeger
Associate Professor
Megan McClean
Associate Professor
Caitlin Pepperell
Assistant Professor
John Pool
Assistant Professor
Vatsan Raman
Assistant Professor
Krishanu Saha
Assistant Professor
David C. Schwartz
Kellett Professor
Alessandro Senes
Associate Professor
Garret Suen
Assistant Professor
Ophelia Venturelli
Assistant Professor
Grace Wahba
IJ Schoenberg-Hilldale Professor
