Ryan Ripper is a Research Associate at the Possibility Lab at the Goldman School for Public Policy. Before he joined the lab, Ryan was a software developer and project manager at a healthcare consulting firm tasked with addressing Price Transparency mandates for hospitals across the country.

Ryan’s research interests lie in the intersection between Public Policy and Data Science, empowering decision makers through applied theory. He earned a B.S. in Applied and Computational Mathematics from the California Institute of Technology and an M.S. from the McCourt School of Public Policy at Georgetown University. He has had the opportunity to pursue theoretical and practical research projects with the National Security Agency, the Massive Data Institute at Georgetown’s McCourt School of Public Policy, and the Department of Mathematics and Statistics at Georgetown.

In his free time, Ryan enjoys watching science fiction movies and examining the scientific falsities replete across the genre. He also enjoys plane watching and everything to do with aerospace.