Gabriel Nicholas is a public policy and technology expert with 11 years of experience bridging product teams, government, and academia on AI governance and digital policy. Currently on Anthropic’s Product Public Policy team, he previously advised the White House and Department of Commerce as a Senior Policy Advisor at NTIA and helped found the CDT AI Governance Lab. He combines hands-on technical roots from roles as a software engineer and mobile developer with legal and policy scholarship cultivated at NYU and Georgetown. Gabriel has published in leading law and mainstream outlets, bringing a practised ability to translate technical tradeoffs into actionable policy recommendations. Based in San Francisco, he pairs technical literacy from a UC Berkeley MIS with cognitive science training from Tufts, an unusual blend that informs his work on human-centered AI governance. He’s known for moving fluently between code, research, and high-stakes policy fora to shape responsible AI deployment.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree Information Management and Systems, Master’s Degree Information Management and Systems at University of California, Berkeley
Bachelor of Science Cognitive and Brain Science, Bachelor of Science Cognitive and Brain Science at Tufts University
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Gabriel Nicholas - Product Public Policy at Anthropic