Anupam Gupta

Professor, Carnegie Mellon University
Anupam is a professor in the Computer Science Department at Carnegie Mellon University. His research interests are broadly in the design and analysis of algorithms, primarily in optimization under uncertainty, in developing approximation algorithms for NP-hard optimization problems, and in understanding the algorithmic properties of metric spaces. He is an ACM Fellow, and a recipient of the Alfred P. Sloan Research Fellowship and the NSF Career award.

Program Visits

Data-Driven Decision Processes, Fall 2022, Visiting Scientist
Theory of Reinforcement Learning, Fall 2020, Visiting Scientist
Foundations of Data Science, Fall 2018, Visiting Scientist
Bridging Continuous and Discrete Optimization, Fall 2017, Visiting Scientist
Algorithms and Uncertainty, Fall 2016, Visiting Scientist