Professor Bonneau’s laboratory is focused on two areas in computational and systems biology: 1) Predicting and designing protein and peptidomimetic structure and 2) Learning dynamic network models automatically from functional genomics data using scalable methods.In both research areas Professor Bonneau has played key roles in achieving critical field-wide milestones. In the area of structure prediction he was one of the early authors on the Rosetta code, which was one of the first codes to demonstrate accurate and comprehensive ability to predict protein structure in the absence of detectable sequence homology to proteins with known structures. His lab continues to be a core contributor to the Rosetta research community, participating in the recent refactoring of the code and adding several new functionalities.