Scott Friedman

Dr. Friedman is a SIFT research scientist specializing in Artificial Intelligence.  At SIFT, Dr. Friedman designs and builds AI systems that collaborate with human experts in the domains of scientific research, intelligence analysis, and cyberdefense.  He has advanced the state of the art in knowledge representation, automated cybersecurity, automated program repair, cognitive modeling, belief revision, qualitative reasoning, and reasoning by analogy.  At SIFT, Dr. Friedman is presently PI on the GEMINI program for human-machine team intelligence analysis and leads knowledge representation and reasoning efforts on SIFT's Communicating with Computers program for DARPA.  He previously led the STRIDER program for human-machine information extraction, automated program repair efforts in SIFT's CRASH and CGC projects, and machine reading work for SIFT's DARPA Big Mechanism project.

Before joining SIFT, Dr. Friedman conducted research with the Cognitive Systems division at Northwestern University and with the Distributed Object Computing group at Washington University in St. Louis.  He received university graduate fellowships, including a Cognitive Science Advanced Graduate Research Fellowship to support his dissertation research on large-scale belief revision in scientific domains.

Dr. Friedman has over 50 publications in the areas of Artificial Intelligence, cybersecurity, real-time and embedded systems, parallel programming, and cognitive science.  His academic service includes recently chairing the 28th International Workshop on Qualitative Reasoning in Minneapolis, MN and reviewing for AI Journal, AAAI, QR, CogSci, Informatica, and Advances in Cognitive Systems.