Suresh Venkatasubramanian is an Indian computer scientist and professor at Brown University. He is known for his contributions to computational geometry, differential privacy, and algorithmic fairness, and for his advisory role on fairness and bias in technology at the White House Office of Science and Technology Policy (OSTP) in 2021. His work has been covered by outlets including Science Friday, NBC News, and Gizmodo.
Venkatasubramanian's research spans theoretical computer science and its societal applications, particularly the design and auditing of algorithms for fairness and accountability. He also runs the Geomblog, a widely cited blog on geometry, algorithms, and computing culture, which has received coverage from the New York Times, Hacker News, and KDnuggets.
Education and Early Career
Venkatasubramanian earned his BTech from the Indian Institute of Technology Kanpur. He received his PhD from Stanford University in 1999, under the joint supervision of Rajeev Motwani and Jean-Claude Latombe. After his PhD, he joined AT&T Labs and served as an adjunct professor at the University of Pennsylvania, where he taught courses on computational geometry and streaming algorithms for GPGPUs.
Academic Positions
In 2007, Venkatasubramanian joined the University of Utah School of Computing as the John E. and Marva M. Warnock Presidential Endowed Chair for Faculty Innovation in Computer Science. He received a National Science Foundation CAREER Award in 2010. During 2013-2014, he was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley and at Google. In 2021, he moved to Brown University to join the Computer Science department and its Data Science Initiative. At Brown, he began establishing a new center on Computing for the People, aimed at developing computer science practices that respond to human needs rather than reinforcing existing power structures.
Policy and Advisory Work
In 2021, Venkatasubramanian was appointed to the White House Office of Science and Technology Policy, advising on matters relating to fairness and bias in tech systems. This role involved shaping federal guidance on the responsible use of AI and machine learning, including issues of algorithmic discrimination and equitable deployment of automated decision-making tools.
Research Contributions
Venkatasubramanian's research has addressed core problems in computational geometry, such as shape matching and approximation algorithms, as well as differential privacy, where he has worked on mechanisms for private data analysis. His later work has focused on algorithmic fairness, including the development of frameworks for auditing and mitigating bias in predictive systems. This work connects to broader discussions in generative AI and large language models, where fairness and accountability are central concerns.
Professional Service
Venkatasubramanian has served as associate editor of the International Journal of Computational Geometry and Applications and as academic editor of PeerJ Computer Science. He has also served on program committees for major conferences including the IEEE International Conference on Data Mining, the SIAM Conference on Data Mining, NIPS, SIGKDD, SODA, and STACS.
References
- Source facts provided from Wikipedia (CC BY-SA).