I interned for two months at ENS Paris-Saclay, one of the leading institutes in STEM research. I investigated models for permutation-equivariant neural network architectures, with applications to deep reinforcement learning and distributed computing. As part of my research (which is still ongoing), I have implemented a novel architecture for this class of problems that is more efficient and has more expressivity per layer. The research group is full of incredibly sociable, collaborative, and interesting people. Through their support, I have been able to adapt well to independent life and work in a culture that I hadn't had much prior exposure to, and I am grateful to have built relationships and connections that will last much longer than the internship. Their support made my experience abroad smooth and memorable.
Ishan's story
Ishan Ganguly interned at ENS-Paris-Saclay after graduating, during the summer of 2024. The experience has helped further improved his research skills and has provided him with a lot of experience in combining theoretical and computational work to achieve results.
This experience solidified my goals of doing research in the future, as well as traveling as much as possible! I am planning to go to graduate school, so this experience has provided me valuable exposure to the world of professional research in computer science and mathematics.Ishan Ganguly
Major, Class Year
Mathematics & Computer Science and Engineering, Class of 2024
Location
France
MISTI Program
Internship
MISTI Host
ENS Saclay