We study the organization and evolution of biological systems using computational biology and bioinformatics techniques. We seek to accurately predict links, such as specific molecular interactions, in eukaryotic cell signaling systems using comprehensive genomics data like genome sequence and transcript profiles. We are interested to find how these links are rewired by mutations to cause disease. This work is supported through the development of open-source biological pathway and network databases and visualization and analysis software.

Gary D. Bader works on biological network analysis and pathway information resources as an Assistant Professor at the Terrence Donnelly Centre for Cellular and Biomolecular Research (CCBR) at the University of Toronto. He recently completed post-doctoral work in the group of Chris Sander in the Computational Biology Center (cBio) at Memorial Sloan-Kettering Cancer Center in New York. Gary developed the Biomolecular Interaction Network Database (BIND) during his Ph.D. in the lab of Christopher Hogue in the Department of Biochemistry at the University of Toronto and the Samuel Lunenfeld Research Institute at Mount Sinai Hospital in Toronto. He completed a B.Sc. in Biochemistry at McGill University in Montreal.