Michael Mattarock
Associate Director and Assistant Teaching Professor, Information Networking Institute
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Bio
Michael Mattarock brings deep expertise in national security, cybersecurity and artificial intelligence to his role as associate director and assistant teaching profess
Before joining the INI, Michael served as the Executive Director of National Security Research at Carnegie Mellon University (CMU). He developed and implemented strategies to enhance the national security research portfolio across CMU, working closely with deans, faculty researchers and the Software Engineering Institute (SEI). He was the university’s point of contact for strategic mission partners, advancing key initiatives that serve to enhance federal capabilities and support the deployment of leading edge technologies.
Michael previously served as the Technical Director for AI Mission and Engagement at the SEI, where his accomplishments include launching the discipline of AI Engineering, the AISIRT, and growing the AI Division. Previously, Michael served as the Chief Enterprise Architect at Air Force Materiel Command, Chief Engineer at Air Force Research Laboratories and as the principal of his own consultancy.
Michael is currently completing his doctorate in Secure AI and holds a MS in Information Systems Engineering, summa cum laude, from the George Washington University. Mike has presented and taught courses on a number of evolving technology topics, including engagements for the Department of Defense, Department of State, NATO, NASA and many private sector organizations. He is originally from the Pittsburgh area and is happy to have returned to his hometown.
Education
Doctorate of Engineering, Cyber Security Analytics & Adversarial Machine Learning, George Washington University, expected 2025
M.S. in Information Systems Technology, George Washington University
B.A. International Affairs and History, George Washington University
Research
Areas of Interest: Artificial Intelligence (AI) and Machine Learning (ML) in security, data security and privacy, security in AI and ML