He is a Gordon McKay Professor in Computer Science at Harvard University, with a joint appointment in the Department of Statistics.
[2] Kakade's research includes work on Reinforcement Learning, Tensor-Algebraic methods, and Convex optimization.
Kakade earned a bachelor's degree from Caltech and a PhD from the Gatsby Computational Neuroscience Unit at University College London.
He has also served as a Principal Researcher at Microsoft Research, an assistant professor at the Toyota Technological Institute at Chicago and Wharton, and a professor at the University of Washington.
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