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Principal Computer Scientist, Artificial Intelligence Center
John Byrnes, Ph.D., is a principal computer scientist in the Advanced Analytics group of the Artificial Intelligence Center at SRI International. His research focuses primarily on statistical pattern detection as a technique for the discovery of hidden structure in large amounts of data. He applies these techniques to the self-organization of collections of natural language text in support of machine understanding of language. He has also applied pattern recognition techniques to formalized knowledge and is interested in automated machine reasoning.
Byrnes is currently a principal investigator on multiple projects involving the analysis of scientific and technical publications and patents in order to track and forecast the emergence of technical capabilities and to carry out retrospective analyses of technical achievement.
Prior to joining SRI in 2009, Byrnes carried out research at Fair Isaac Corporation including the application of natural language clustering techniques to automate the generation of proof plans for automated reasoning and novel language compression techniques to develop content-based routing at fiber-optic data rates. He researched novel signal processing representations and algorithms at Kromos Technology from 2000 to 2002.
Byrnes holds a BS in mathematics and a Ph.D. in pure and applied logic from Carnegie Mellon University.