Shauna Sweet

Dr. Shauna Sweet joined DARPA as a program manager in June 2024 to develop, execute, and transition programs related to emergent risks and advanced analytic methods. Her research interests include high-assurance complex systems design and development, psychometric modeling and measurement theory, generative AI, modeling and simulation, and the design and deployment of synthetic data for system and algorithm test and evaluation.

Sweet came to DARPA from Galois, where she led the transition and fielding of multiple high-assurance mission-critical systems for the Department of Defense (DoD) as the lead systems engineer in government and contracted roles, including DARPA’s Cooperative Secure Learning program. Before that role, she acquired extensive experience in the collection, management, and analysis of complex and longitudinal data sets, synthetic data generation, statistical simulations, and evaluation study design in roles at Two Six Technologies, the World Bank, Peraton Labs, and the DoD. She was deployed as a civilian with the 82nd Airborne Division, serving as the in-country survey methodologist at Bagram AFB, Afghanistan.

Sweet holds a doctorate in measurement, statistics, and evaluation from the University of Maryland (UMD), a Master of Science in survey methodology from UMD, and a Bachelor of Arts in Sociology from Hamilton College. She also received a National Science Foundation grant to investigate the applicability of psychometric modeling frameworks to calibrate prompt features submitted to large language models. Her work has been included in various publications, and she currently serves as a reviewer for several journals, conferences, and funding agencies.