I am a Ph.D. student in the Machine Learning Department at Carnegie Mellon University advised by Dr. Kun Zhang and Dr. Jeff Schneider. My current research focus is on developing theory and algorithms to learn causal representations for reinforcement learning, generative modelling, video understanding and robustness in deep learning. I have a M.Sc. in Computer Science from the University of British Columbia where I worked on invariant and fair representation learning using kernel-based measures, advised by Dr. Danica J. Sutherland.

I have held machine learning research intern positions at Borealis AI, the Visual Intelligence and Learning Lab at EPFL and the Applied Sciences group at Microsoft Research India. I also have full-time experience as a research fellow at Wadhwani AI.