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Chris Dwan trained in Computer Science, with a focus in Artificial Intelligence, at the University of Michigan in Ann Arbor. As a research engineer at the Environmental Research Institute of Michigan, Dwan developed pattern recognition algorithms for identifying military vehicles based on infrared and radar imagery. He also developed sensor fusion algorithms for the detection of land mines and unexploded ordinance, in collaboration with researchers at the Army Research Lab in Adelphi, MD. At the University of Minnesota's Center for Computational Genomics and Bioinformatics, Dwan provided technical support and software development for a wide variety of life sciences researchers. While there, he developed a customized version of the EnsEMBL genome annotation system for use with the Medicago truncatula and Lotus japonicus genome projects. This system was notable for its use of grid computing techniques to distribute workload across a variety of geographically and administratively discrete clusters. Dwan is an international lecturer and consultant on distributed computing for bioinformatics, and is a Principal Investigator with the BioTeam. | 