Matthew Daniels

Technical Director for Machine Learning and Artificial Intelligence in OUSD(R&E)

Dr. Matthew Daniels is the inaugural Technical Director for Machine Learning and Artificial Intelligence in the Office of the Under Secretary of Defense for Research & Engineering. In this role he oversees and focuses the department's AI/ML research portfolio, architects future capabilities, engages the research and technology organizations of U.S. allies, and advises the undersecretary of defense for research and engineering.

Previously, Matt served as advisor to the director of net assessment in the office of the secretary of defense. His work focused on U.S. space programs and artificial intelligence at the whole-enterprise level for DoD. He was also a senior technical advisor in the office of the NASA administrator. Outside of the U.S. government, he has academic affiliations at MIT, Stanford, and Georgetown.

Earlier he was a research engineer at NASA, with work in stochastic control, probability theory, and new science missions. Matt received his Ph.D. and M.S. degrees in engineering from Stanford, a B.A. in physics from Cornell, was a fellow at Stanford's Center for International Security and Cooperation, and is a recipient of the Department of Defense Medal for Distinguished Public Service.