Sham Kakade

Sham Machandranath Kakade is an American computer scientist. He is a Gordon McKay Professor in Computer Science at Harvard University, with a joint appointment in the Department of Statistics.[1] He co-founded the Algorithmic Foundations of Data Science Institute.[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.[1]