Yaron Singer

Yaron Singer

Yaron Singer

Yaron Singer
Alma materUniversity of California, Berkeley (PhD)
AwardsSloan Research Fellowship (2018)
NSF CAREER Award
Scientific career
FieldsComputer science, machine learning, algorithms, optimization
InstitutionsHarvard University
Robust Intelligence
Cisco Systems
Christos Papadimitriou

Yaron Singer is a computer scientist and entrepreneur whose research has focused on algorithms, machine learning, optimization, and the security of artificial intelligence systems.[1] He was the Gordon McKay Professor of Computer Science and Applied Mathematics at Harvard University and co-founded Robust Intelligence, where he served as CEO.[2][3][4] Cisco acquired Robust Intelligence in 2024.[5] Singer is vice president of AI and security at Cisco's Foundation AI group.[6][7]

Education and academic career

Singer earned a PhD in computer science from the University of California, Berkeley in 2011. His dissertation, Incentives, Computation, and Networks: Limitations and Possibilities of Algorithmic Mechanism Design, was supervised by Christos Papadimitriou.[8]

Before joining Harvard, Singer was a postdoctoral researcher at Google Research.[1] Harvard appointed him full professor with tenure in 2020.[1] He later held the Gordon McKay Professorship of Computer Science and Applied Mathematics. Singer left his professorship in 2023 and remains affiliated with Harvard as an associate in computer science.[4][2]

Research

Singer's doctoral research was in algorithmic mechanism design, including the computational limits of truthful mechanisms and the design of mechanisms subject to a fixed budget.[8][9][10]

With Eric Balkanski, Singer developed algorithms for submodular optimization that evaluated multiple candidates in parallel, reducing the number of sequential steps needed to find a solution.[11][12][13]

Singer has also studied adversarial machine learning, including how small changes to inputs can alter a model's predictions and how to make models more resistant to such attacks.[14][3]

Robust Intelligence and Cisco

Singer co-founded Robust Intelligence and served as its CEO. The company developed software for finding vulnerabilities in machine learning systems and blocking problematic inputs.[3]

Cisco announced an agreement to acquire Robust Intelligence in August 2024 and completed the acquisition the following month.[5] At Cisco, Singer became vice president of AI and security at Foundation AI.[6][7]

Recognition

Singer was named a Sloan Research Fellow in computer science in 2018.[15] He has also received an NSF CAREER Award, a Google Faculty Research Award, and a Facebook Faculty Award. As a graduate student, he received fellowships from Microsoft Research and Facebook.[1]

In 2012, Singer received the best student paper award at the ACM International Conference on Web Search and Data Mining for How to Win Friends and Influence People, Truthfully: Influence Maximization Mechanisms for Social Networks.[16]

References

  1. ^ a b c d Burrows, Leah (11 February 2020). "Yaron Singer granted tenure". Harvard John A. Paulson School of Engineering and Applied Sciences. Harvard University. Retrieved 24 June 2026.
  2. ^ a b "Yaron Singer". Institute for Quantitative Social Science. Harvard University. Retrieved 24 June 2026.
  3. ^ a b c Knight, Will (2 December 2020). "This Company Uses AI to Outwit Malicious AI". Wired. Retrieved 24 June 2026.
  4. ^ a b Dhanda, Sidhi; Dragoi, Stephanie (24 February 2026). "Harvard's Computer Science Faculty Keep Heading to Industry. SEAS is Trying to Keep a Foot in Both Worlds". The Harvard Crimson. Retrieved 24 June 2026.
  5. ^ a b Gillis, Tom (26 August 2024). "Fortifying the Future of Security for AI: Cisco Announces Intent to Acquire Robust Intelligence". Cisco Blogs. Cisco Systems. Retrieved 24 June 2026.
  6. ^ a b "Yaron Singer". Cisco Blogs. Cisco Systems. Retrieved 24 June 2026.
  7. ^ a b Almekinders, Sander (28 April 2025). "Cisco launches Foundation AI and introduces open-source security AI model". Techzine Global. Retrieved 24 June 2026.
  8. ^ a b Singer, Yaron (2011). Incentives, Computation, and Networks: Limitations and Possibilities of Algorithmic Mechanism Design (PhD dissertation). University of California, Berkeley. Retrieved 24 June 2026.
  9. ^ Papadimitriou, Christos; Schapira, Michael; Singer, Yaron (2008). "On the Hardness of Being Truthful". Proceedings of the 49th Annual IEEE Symposium on Foundations of Computer Science. pp. 250–259. doi:10.1109/FOCS.2008.54.
  10. ^ Singer, Yaron (2010). "Budget feasible mechanisms". Proceedings of the 2010 IEEE 51st Annual Symposium on Foundations of Computer Science. pp. 765–774. doi:10.1109/FOCS.2010.78.
  11. ^ Balkanski, Eric; Singer, Yaron (2018). "The Adaptive Complexity of Maximizing a Submodular Function". Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing. STOC '18. pp. 1138–1151. doi:10.1145/3188745.3188752.
  12. ^ Temming, Maria (16 July 2018). "Solving problems by computer just got a lot faster". Science News. Retrieved 24 June 2026.
  13. ^ Choi, Charles Q. (5 July 2018). "New Optimization Algorithm Exponentially Speeds Computation". IEEE Spectrum. Retrieved 24 June 2026.
  14. ^ Shaw, Jonathan (6 December 2018). "AI and adversarial attacks". Harvard Magazine. Retrieved 24 June 2026.
  15. ^ "Alfred P. Sloan Research Fellowship for Yaron Singer in Computer Science". Alfred P. Sloan Foundation. Retrieved 24 June 2026.
  16. ^ "WSDM 2012". Web Search and Data Mining 2012. 9 February 2012. Retrieved 24 June 2026.

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