Sarah Cen

Sarah H. Cen is an assistant professor of Electrical & Computer Engineering and Engineering & Public Policy at Carnegie Mellon University. Cen’s research lies at the intersection of machine learning, statistics, economics, law, and public policy. Her recent work includes projects on AI audits, AI supply chains, social media regulation, algorithmic fairness, causal inference under network interference, individual rights in the age of AI, and procedural due process for AI-driven decisions. She was previously an HAI postdoctoral researcher at Stanford, jointly affiliated with Stanford Law School's RegLab and the Department of Computer Science, working with Daniel Ho and Percy Liang.

Cen earned her Ph.D. in electrical engineering and computer science at MIT, advised by Aleksander Mądry and Devavrat Shah; a master’s in robotics at Oxford University with Paul Newman, where she worked on autonomous vehicles; and a BSE in mechanical engineering at Princeton with Naomi Leonard, where she studied control systems.