I am a graduate student at MILA & UniversitÃ© de MontrÃ©al, advised by Ioannis Mitliagkas. Prior to joining MILA, I was a Research Fellow at Microsoft Research Lab India, where I worked with Amit Sharma on Machine Learning and Causal Inference. I had completed my undergraduate double major program in Mathematics and Computer Science from the Indian Institute of Technology, Kanpur.
I have focused on causal regularizers to improve explainability and outofdistribution generalization of deep learning models. In future, I plan to work on core problems in causality (causal effect estimation, causal discovery); along with its applications to develop robust ML models. I am also interested in general about optimization under uncertainity.
Research Interests:
Machine Learning  Causal Inference  Explainability, OutofDistribution Generalization and Robustness in Deep Learning
Publications
Causal Representation Learning & OutofDistribution Generalization
Causal Inference
Explainable Machine Learning
Miscellaneous
Software

RobustDG
Toolkit for Building Robust ML models that generalize to unseen domains  Github  Microsoft