Sham Kakade

{{short description|American computer scientist}}

{{Infobox scientist

| name = Sham Machandranath Kakade

| nationality = American

| field = Computer Science, Artificial Intelligence

| work_institution = Toyota Technological Institute at Chicago
Wharton
Microsoft Research
University of Washington
Harvard University

| alma_mater = Caltech
University College London{{cite web|url=https://sham.seas.harvard.edu/|title=Sham Machandranath Kakade|accessdate=2019-04-25}}

| 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. He co-founded the Algorithmic Foundations of Data Science Institute.{{cite web|url=https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888|website=National Science Foundation|accessdate=25 April 2019|title=New NSF awards will bring together cross-disciplinary science communities to develop foundations of data science}}

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.