Dr. Sarah Cen

Assistant Professor

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Biography

Sarah H. Cen is an Assistant Professor in the Department of Electrical and Computer Engineering as well as the Department of Engineering and Public Policy at Carnegie Mellon University. Her research is at the intersection of machine learning, statistics, economics, law, and public policy. Recent projects include AI audits, AI supply chains, regulatory frameworks, algorithmic fairness, causal inference, network interference, and the implications of AI on individual rights and procedural due process in AI-driven decisions. Prior to her appointment at Carnegie Mellon, Sarah was a postdoctoral researcher at Stanford University, where she held a joint affiliation with the Stanford Law School’s RegLab and the Department of Computer Science, collaborating with Daniel Ho and Percy Liang. She completed her PhD in Electrical Engineering and Computer Science at MIT under the supervision of Aleksander Mądry and Devavrat Shah. Sarah also earned a Master’s degree in Robotics from Oxford University and holds a Bachelor’s degree in Mechanical Engineering from Princeton University, where she focused on control systems.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.