Ryan Steed

Ryan Steed

I am a research scientist at the Center for AI Standards and Innovation in the U.S. National Institute of Standards and Technology (NIST). I am supported by an AI Policy Fellowship from Princeton University. Previously, I completed a Ph.D. in Machine Learning & Public Policy at Carnegie Mellon University, advised by Alessandro Acquisti.

I conduct empirical evaluations of 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