Arvind Narayanan
Arvind Narayanan is Princeton’s Bertram and Carole Siegel Professor of Computer Science and director of the Center for Information Technology Policy. His research connects computer science with privacy and public decisions. With Vitaly Shmatikov, he showed how movie ratings in the Netflix Prize data could be linked with outside information to identify people. He joined Princeton in 2012 after doctoral study at the University of Texas at Austin and a Stanford postdoctoral position. With Sayash Kapoor, he examined data leakage in scientific machine learning and wrote AI Snake Oil. He also coauthored AI Agents That Matter, which discusses cost and reliable evaluation. His work helps readers examine the evidence behind AI claims.
- Now at
- Princeton University
- Works
- 155
- Citations
- 19,468
- h-index
- 52
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2006–2007
Testing anonymity
Coauthored the Netflix ratings study on links between data and identity.
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2009–2012
From doctorate to Princeton
Joined Princeton in 2012 after doctoral and postdoctoral research.
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2022
Finding leakage in scientific AI
Coauthored research on data leakage in scientific machine learning.
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2023
Leading a policy center
Became CITP director in July 2023.
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2024–2025
Explaining AI Snake Oil
Wrote AI Snake Oil with Sayash Kapoor.
Sources and credits
Photo: Robert Scoble, via Wikimedia Commons. License: CC BY 2.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
