Ryan Steed is a PhD student at Carnegie Mellon's Heinz College of Information Systems and Public Policy. His research leverages empirical methods to examine privacy and equity in algorithmic systems, especially in relation to tech policy and governance. His current work examines the practical applications and impacts of algorithmic techniques for privacy-preserving analytics.
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