Pritish Kamath is a graduate student in MIT, advised by Madhu Sudan and Ronitt Rubinfeld. His research focuses on theoretical aspects of computer science, in particular, on understanding the computational hardness in problems across different domains such as algebraic complexity and communication complexity. In addition, he is also interested in understanding the theoretical foundations of machine learning, especially deep learning.
Prior to joining MIT, he completed BTech in Computer Science and Engineering at IIT Bombay, and was a Research Fellow at Microsoft Research India.
- Foundations of Deep Learning, Summer 2019. Research Fellow.