Pravesh Kothari

Associate Professor of Computer Science

Research interests: Algorithm design for average-case and beyond-average-case computational problems with natural connections to semidefinite programming, spectral methods, and extremal combinatorics.

blackboard with equations written in white chalk — Theoretical computer scientists at Princeton, UCLA and UT-Austin used AI to help solve a mathematical puzzle. The experience showed them that while current AI models are great at solving math problems, they lack the research judgment to build mathematical theories. Photo from Adobe Stock

AI is great at math, but does it know how to do research?

Faculty commended for outstanding teaching

Graphic with text "Commendation for Outstanding Teaching".

Faculty commended for outstanding teaching

Innovation funds support advances in artificial intelligence, bioengineering, materials science and more

Computer Science

Leading the field through foundational theory, applications, and societal impact

Pravesh Kothari

Associate Professor of Computer Science

AI is great at math, but does it know how to do research?

Faculty commended for outstanding teaching

Faculty commended for outstanding teaching

Innovation funds support advances in artificial intelligence, bioengineering, materials science and more

Computer Science

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