Christopher L. Barrett

About
Christopher L. Barrett is the inaugural Distinguished Professor in Biocomplexity, Executive Director of the Biocomplexity Institute, and Professor in the Department of Computer Science at the University of Virginia. He is an interdisciplinary computational scientist who has published more than 100 research articles exploring all aspects of large multi-scale interaction systems. During the past 35 years, Barrett has conceived, founded, and led large interdisciplinary complex systems research projects and organizations, established national and international technology programs, and co-founded organizations for federal agencies such as the Department of Defense, the Department of Energy and the Department of Homeland Security.
Barrett is the recipient of the 2012–2013 Jubilee Professorship in Computer Science and Engineering at Chalmers University in Göteborg, Sweden and is a member of the 2010 Royal Colloquium for the King of Sweden. He was a Distinguished International Professor at the Royal Institute of Technology in Stockholm (1997–1998). He has received distinguished research, service, advisory and security awards from the U.S. Navy, Los Alamos National Laboratory, and the Alliance for Transportation Research. He has served as advisor to many organizations, including U.S. government agencies, the Commonwealth of Virginia, and the European Commission. He holds seven patents and has ten pending.
Education
U.S. Navy Aerospace Experimental Psychology, Medical Service Corps Post Ph.D. Certification, 1986
California Institute of Technology, Ph.D. in Bioinformation Systems and Engineering Science, 1985
California Institute of Technology, M.S., Engineering Science, 1983
University of New Mexico, B.S., 1976
"The Biocomplexity Institute encourages formal, analytical and computational methods that unify approaches to disparate problems ranging from biomolecular science to public policy. Our transdisciplinary teams of research scientists create analytical innovations that extend human capability to understand and manage massive interdependencies in the real world. Such problems do not normally conform to disciplinary boundaries or convenient scales; they do not conform to distinctions between engineering and basic science. However, scientific pursuit of ever-improving approaches to these complex problems - as they occur - is critical to human survival. "