Ph.D., Computer Science, Northwestern University
M.S., Computer Science, Washington University in St. Louis
B.S., Computer Science, Washington University in St. Louis
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 led the STRIDER program for human-machine collaborative intelligence analysis, he led automated program repair efforts in SIFT's CRASH and CGC projects, and he currently conducts knowledge representation and reasoning research for SIFT's Big Mechanism and Communicating with Computers projects.
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 40 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.