Computational Biology & Bioinformatics

Computational Biology & Bioinformatics

Computational biology and bioinformatics research in the Department of Computer Science spans biological systems from individual genes, proteins, and cells, to networks of interacting molecules, to species and microbial communities. The research projects include protein structure prediction, protein binding and interaction networks, comparative genomics, microbial forensics, and phylogenomics. Research projects are conducted on a wide array of biological systems and species, including, but not limited to, cancer, neurodegenerative diseases (Alzheimer’s, Parkinson’s, etc.), microbiomes, and eukaryotic species. 

The group members combine expertise and conduct research in computational disciplines as diverse as graph theory, algorithm design, combinatorial optimization, statistical inference, machine learning, and, more broadly, artificial intelligence. The group takes pride in implementing and making publicly available software tools for analyzing biological data and deriving hypotheses based on the new methodologies they design. 


Faculty members leading research in Computational Biology & Bioinformatics are as follows: