Anupam Gupta is a Silver Professor in the Computer Science Department at the Courant Institute, New York University. He received his undergraduate degree in Computer Science and Engineering from the Indian Institute of Technology, Kanpur, in 1996, and his Ph.D. in Computer Science from the University of California, Berkeley, in 2000. After postdoctoral stints in the CS/OR departments at Cornell University, and at the Math Center at Lucent Bell Labs in Murray Hill, New Jersey, he was a professor of Computer Science at Carnegie Mellon University from 2003 to 2023.
Anupam's research interests are in the design and analysis of algorithms, specifically in decision-making under uncertainty (e.g., online and stochastic optimization problems), in models for Beyond Worst-Case Analysis, in approximation algorithms for NP-hard optimization problems (with applications to network design and stochastic optimization), and also in metric embeddings and the algorithmic properties of metric spaces. Anupam is an ACM Fellow, an Alfred P. Sloan Research Fellow, and a recipient of the NSF Career award, and the Herb Simon Award for Teaching Excellence at Carnegie Mellon.