Ryan Steed

Ph.D. Student At Carnegie Mellon University

I am a Ph.D. student at Carnegie Mellon's Heinz College of Information Systems and Public Policy and Machine Learning Department, advised by Professor Alessandro Acquisti. Previously, I studied Computational Economics at the George Washington University. My research evaluates privacy and equity in algorithmic systems to inform tech policy and governance. My current work examines the impacts of algorithmic techniques for privacy-preserving analytics and the practice of algorithm auditing.