Computational Faculty

Computational logoExtracting 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
Silvia Cavagnero
Professor
Gheorghe Craciun
Associate Professor
Mark Craven
Professor
Colin Dewey
Colin Dewey
Professor
Corrine Engelman
Associate Professor
Qiongshi Lu
Qiongshi Lu
Assistant Professor
Julie Mitchell
Professor
Rob Nowak
McFarland-Bascom Professor
Irene Ong
Irene Ong
Assistant Professor
Brian Parks
Brian Parks
Assistant Professor
Steve Schrodi
Steve Schrodi
Assistant Professor
Nathaniel Sharp
Nathaniel Sharp
Assistant Professor
Daifeng Wang
Daifeng Wang
Assistant Professor
Donna Werling
Donna Werling
Assistant Professor

Additional Faculty Interested in Computational Focus

David Anderson
Assistant Professor
Cecile Ane
Cécile Ané
Associate Professor
Karl Broman
Professor
Joshua Coon
Professor
Audrey Gasch
Associate Professor
Chris Todd Hittinger
Assistant Professor
Sunduz Keles
Professor
John Markley
Professor
Megan McClean
Megan McClean
Assistant Professor
Caitlin Pepperell
Assistant Professor
Nicole Perna
Professor
John Pool
Assistant Professor
Vatsan Raman
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