Sham Kakade

Sham Kakade is a distinguished professor at the University of Washington, holding positions in both the Department of Computer Science and the Department of Statistics.

With a strong academic background, Sham Kakade pursued a Bachelor of Science in Physics from Caltech followed by a Doctor of Philosophy in Computer Science from UCL.

His research focuses on the theoretical underpinnings of machine learning and artificial intelligence, spanning various paradigms. By delving into these foundations, he aims to construct algorithms that are not only computationally efficient but also statistically sound.

Through his work, Sham Kakade endeavors to push the boundaries of AI across diverse domains, contributing to the advancement of the field.

As a professor, his expertise and insights are invaluable in shaping the next generation of professionals in the realm of computer science and statistics.