Multiple papers accepted at NeurIPS 2023, ICML 2023, AAMAS 2023, etc.; involved in several research projects related to reinforcement learning, such as a framework for handling uncertain lead times in supply chains.
Research Experience
Currently working on representation learning for reinforcement learning at McGill University; previously worked at TCS Research, focusing on applying Reinforcement Learning to Supply Chain Management.
Education
PhD Student at McGill University / Mila, advised by Professor Derek Nowrouzezahrai and Professor Samira Ebrahimi Kahou; Master's from the University of Alberta, advised by Martha White; Undergrad in Electrical Engineering from Jadavpur University, with work mostly in the Internet of Things (IOT) domain along with medical imaging.
Background
Main interests lie in reinforcement learning, representation learning, model-based RL, and exploration. Previously a Researcher at TCS Research, working on applying Reinforcement Learning to Supply Chains.