Sarah Cen

Sarah Cen is an incoming Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU). She is currently a Postdoctoral Scholar at Stanford University, holding a dual appointment in the Department of Computer Science and the Law School. Her research focuses on AI accountability, blending machine learning, statistics, causal inference, and game theory to address challenges in AI auditing, policy, and ethical deployment.

• Education: PhD in Electrical Engineering and Computer Science (EECS) from MIT (advisors: Prof. Aleksander Mądry and Prof. Devavrat Shah), MEng in Engineering Science (Robotics) from the University of Oxford, BSE in Mechanical Engineering from Princeton University.

Her work bridges computer science, law, and policy, emphasizing interdisciplinary approaches to ensure responsible AI development. She collaborates with Prof. Daniel Ho (Stanford Law) and Prof. Percy Liang (Stanford CS) on AI governance and regulatory frameworks.

No specific grants, labs, or advising records are detailed in the provided text; her research priorities include AI supply chain transparency and policy-technical interfaces.