Dr. Elissa M. Redmiles is an Assistant Professor at Georgetown University in the Computer Science Department and a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University. She 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, Facebook, 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 — with a concentration in Survey Methodology — from the University of Maryland.
Dr. Redmiles uses computational, economic, and social science methods to understand users’ security, privacy, and online safety-related decision-making processes. Her work specifically investigates inequalities that arise in these processes in order to ultimately design systems that facilitate safety equitably across users. Dr. Redmiles current projects focus on security, privacy & safety in digital labor, digital intimacy, digitally-mediated offline interactions, and medical data donation; building transparency tools for privacy enhancing technologies such as differential privacy; and measuring biases in and ethics of AI-based technologies. Her research has received multiple paper recognitions at USENIX Security, ACM CCS, ACM CHI, ACM CSCW, and ACM EAAMO and has been featured in popular press publications such as the New York Times, Wall Street Journal, Scientific American, Rolling Stone, Wired, and Forbes.