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Sahil Singla is an Assistant Professor in the School of Computer Science at Georgia Tech, specializing in optimal algorithms for uncertain inputs. His research focuses on the design of algorithms that operate under uncertainty, influenced by various models of uncertainty. This work includes significant contributions in Online Algorithms, Algorithmic Game Theory, Stochastic Optimization, and Online Learning. He completed his Ph.D. in Computer Science at Carnegie Mellon University under the guidance of Anupam Gupta and Manuel Blum. Prior to his role at Georgia Tech, he served as a Research Instructor at Princeton University. Singla has organized and participated in numerous workshops and tutorials on topics such as Online Algorithms and Stochastic Optimization, contributing significantly to the academic community. He teaches various courses at Georgia Tech, including Advanced Algorithms and Design and Analysis of Algorithms. Through his research and teaching, Singla aims to advance the understanding of how algorithms react to uncertainty in practical applications.
Princeton University • Princeton, NJ
Conducted research in algorithms and uncertainty, taught advanced algorithm courses.
Department of Computer Science: GRE scores are optional for Fall 2026.