I am a graduate student in Machine Learning at EPFL, Switzerland, where I am advised by Martin Jaggi. Currently, I am doing my master thesis on second-order methods for deep learning, advised by Dan Alistarh at IST Austria. Before EPFL, I completed my undergraduate studies in Computer Science at IIT Roorkee.
Previously, I have interned at Facebook AI Research (FAIR), working with Michael Auli and Angela Fan on non-compositional representations for text. Thanks to the Honda Y-E-S Award, I got the wonderful opportunity to work with Marco Cuturi at Kyoto University, where I learned about Optimal Transport.
In particular, my research focuses on the areas of representation learning, robust-continual learning and resource-efficient learning. Check out my research statement for more details.
M.Sc. in Data Science, 2020
Ecole Polytechnique Federale de Lausanne
B.Tech in Computer Science, 2017
Indian Institute of Technology, Roorkee