Ryan Steed

Ryan Steed

I am an AI Policy Fellow at Princeton University. I completed a Ph.D. in Machine Learning & Public Policy at Carnegie Mellon University, advised by Alessandro Acquisti.

I evaluate ethics and privacy in algorithmic systems to help improve tech governance.

Research

Working Papers

News

I’ll be discussing differential privacy, law, and policy at the Theory and Practice of Differential Privacy Workshop.

06/01/2025

I successfully defended my dissertation. I’m now an AI Policy Fellow at Princeton AI Lab.

05/09/2025

I’m presenting a poster at TPDP & giving a talk at the OpenDP Community Meeting DP Beyond Algorithms Workshop this week — stop by and see our work on census privacy and DP adoption.

08/18/2024

Our work on the adoption of privacy-preserving analytics received the George Duncan Award for Best Second Research Paper at Heinz College.

05/10/2024