John Beieler

Dr. John Beieler serves as the Executive Director of the Applied Research Laboratory for Intelligence and Security (ARLIS) at the University of Maryland. At ARLIS, a Department of Defense UARC, he leads a team of researchers to undertake applied research and development efforts to advance strategic technology goals for the DoD, Intelligence Community, and broader national security enterprise in areas such as artificial intelligence, quantum computing, human-machine teaming, and social and behavioral sciences. 

Before ARLIS, Dr. Beieler served concurrently as Assistant Director of National Intelligence (ADNI) for Science & Technology (S&T) and as Director of Science and Technology within the Office of the Director of National Intelligence, a role he was selected for in June 2019. In this position, Dr. Beieler served as the chief representative of the DNI for science and technology, assisted the Director in formulating a long-term strategy for scientific advances in the field of intelligence, and chaired the Director of the National Intelligence Science & Technology Committee (NISTC). Beginning in 2024 he also served as Chief Artificial Intelligence Officer (CAIO), with responsibilities for overseeing and governing IC-wide investments in AI and chairing the IC’s Chief AI Officer Council. While at ODNI, Dr. Beieler was a career member of the Senior National Intelligence Service. 

Prior to this assignment, Dr. Beieler was a program manager at the Intelligence Advanced Research Projects Activity (IARPA) focusing on human language technology, machine learning, and vulnerabilities in artificial intelligence. While at IARPA, Dr. Beieler led the successful creation of two programs, BETTER and SAILS, and was crucial in establishing the field of AI Assurance and Security within the Intelligence Community. Before joining IAPRA, Dr. Beieler was a research scientist at the Johns Hopkins Human Language Technology Center of Excellence (HLTCOE) and a data scientist at Caerus Associates. In both roles, his work focused on machine learning research and the development, deployment, and scaling of large machine learning systems. 

Dr. Beieler received his doctorate and master’s in political science from Pennsylvania State University, and a bachelor’s in political science from Louisiana State University.