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Pravesh Kothari is an Adjunct Faculty member in the Computer Science Department at Carnegie Mellon University. His research focuses on designing efficient algorithms and obtaining rigorous evidence of algorithmic thresholds for average-case computational problems, particularly those arising from theoretical computer science and its intersections with allied areas like statistics. He has secured prestigious support for his research program, being awarded the NSF CAREER Award for the years 2021-2026, along with the Sloan Fellowship in 2022. A significant highlight of his research is the development of the sum-of-squares method, which integrates ideas from proof complexity to facilitate 'on-demand' design analysis of semidefinite programming relaxations relevant to hard optimization problems. Pravesh has delivered lectures and produced lecture notes for a Fall 2021 class at CMU, emphasizing the intricacies of his work. His scholarly contributions are vital to advancing knowledge in algorithm design and efficiency.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.