Sanjeev Arora

Sanjeev Arora is the Charles C. Fitzmorris Professor of Computer Science at Princeton University, where he has been since 1994. He earned a B.S. in Math with Computer Science from MIT in 1990 and a Ph.D. in Computer Science from UC Berkeley in 1994.

• Education
  • MIT (B.S. 1990)
  • UC Berkeley (Ph.D. 1994)

His research spans theoretical computer science, computational complexity, and machine learning theory. Recent work focuses on mathematical frameworks for AI, including skill-based training, model interpretability, and synthetic data pipelines.

Key article trends include automated theorem proving, LLM instruction tuning, topic modeling unlearning, and visual reasoning evaluation. Awards span the ACM-EATCS Gödel Prize, Simons Investigator Award, and ACM Infosys Foundation Award. He advises 18 Ph.D. students and directs the Princeton Language and Intelligence center.