Dr. Elissa M. Redmiles is the Clare Boothe Luce Assistant Professor of Computer Science at Georgetown University.
Dr. Redmiles uses computational, economic, and social science methods to understand users’ security, privacy, and online safety-related decision-making processes. Her current research focuses on mitigating AI generation of non-consensual intimate imagery and on participatory methods for privacy enhancing technologies like differential privacy. She was named one of MIT Technology Reviews 35 Innovators Under 35 in 2025 and is the recipient of the 2024 ACM SIGSAC Outstanding Early Career Researcher Award in recognition of her “pioneering contributions to the field of sociotechnical security.” Dr. Redmiles has been invited to present her research at the U.S. White House, U.S. National Academy of Science, and EU-US Trade and Technology Council among other international venues.
Her research has been featured in popular press publications such as the New York Times, Wall Street Journal, Scientific American, Rolling Stone, Wired, and Forbes. Dr. Redmiles’ research has received multiple paper awards and recognitions at USENIX Security, ACM CCS, ACM CHI, ACM CSCW, and ACM EAAMO. Dr. Redmiles was previously a faculty member at the Max Planck Institute for Software Systems and has additionally served as a consultant and researcher at multiple institutions, including Microsoft Research, Meta, the World Bank, the Center for Democracy and Technology, and the Partnership on AI. Dr. Redmiles received her B.S. (Cum Laude), M.S., and Ph.D. in Computer Science from the University of Maryland. As a graduate student, she received the John Karat Usable Privacy and Security Student Research Award and was supported by a National Science Foundation Graduate Research Fellowship (NSF GRFP), a National Defense Science and Engineering Graduate Fellowship (NDSEG), and a Facebook Fellowship.
