Hello there — I’m Matt. I’m a policy researcher working at the intersection of AI, privacy, and emerging technology regulation. My work focuses on how technical systems create real-world social impact, translating complex technical questions into evidence-based frameworks for lawmakers, regulators, and civil society.
I’m currently a Policy Fellow at the Knight-Georgetown Institute, where I study how regulators and courts evaluate evidence about digital platforms. Previously, I was a Policy Fellow at the Open Technology Institute at New America, where I researched agentic AI and the Model Context Protocol, and contributed to research on how cities and states are integrating AI into government processes. Before that, I worked at Georgetown’s Massive Data Institute studying the effectiveness of social media messaging in elections.
Before entering policy, I worked in film, television, and theater. As Director of Development for a production company, I helped develop projects for Netflix, FX, and Broadway, managing projects from early research through production. During that time, I also wrote several plays about technology that were produced in theaters across the country.
And somehow, this all started with a job in the writers’ room at Late Night with Seth Meyers.
Featured Work
Measuring and Mitigating Platform Risk: Evidence from the DSA and U.S. Litigation, Knight-Georgetown Institute, 2026
AI Agents and Memory: Privacy and Power in the MCP Era, Open Technology Institute, New America, 2025
The Teddy Bear AI Problem, Politico, 2025
AI Is Moving Into Physical Products, And Out of Regulatory Reach, Tech Policy Press, 2025
OpenAI Can't Afford to Ignore Hollywood's Warning, Fortune, 2025
Making AI Work for the Public: An ALT Perspective, ReThinkAI, New America, 2025
Breaking Through the Noise and Building Trust in Elections, Georgetown Public Policy Review, 2024