Peter Henderson is an assistant professor at Princeton University with appointments in the department of computer science and the School of Public and International Affairs. He is also affiliated with the Princeton Center for Information Technology Policy (CITP) and the Center for Statistics and Machine Learning (CSML).

His research focuses on aligning machine learning, law, and policy for responsible real-world deployments. This includes work on AI safety, methods to improve reasoning in foundation models, interdisciplinary methods in law and AI, as well as core work on legal doctrine and policy (particularly around AI governance). His group also engages with external organizations to ground our research in real-world machine learning and public policy challenges. Henderson's research has received coverage by TechCrunch, Science, New York Times, The Wall Street Journal, Bloomberg, and more.

Previously, as a joint degree candidate, Henderson received a J.D. from Stanford Law School, where he co-led the Domestic Violence Pro Bono Project, worked on client representation with the Three Strikes Project, and contributed to the Stanford Native Law Pro Bono Project. He will also receive his Ph.D. in Computer Science (AI) at Stanford University.