Sham Kakade
Sham Machandranath Kakade | |
|---|---|
| Nationality | American |
| Alma mater | Caltech University College London[1] |
| Scientific career | |
| Fields | Computer Science, Artificial Intelligence |
| Institutions | Toyota Technological Institute at Chicago Wharton Microsoft Research University of Washington Harvard University |
| Doctoral advisor | Peter Dayan |
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]
References[edit]
- ^ a b c "Sham Machandranath Kakade". Retrieved 2019-04-25.
- ^ "New NSF awards will bring together cross-disciplinary science communities to develop foundations of data science". National Science Foundation. Retrieved 25 April 2019.
External links[edit]
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