Gunshi Gupta is a DPhil student in the OATML group, supervised by Prof. Yarin Gal. She is interested in problems related to probabilistic and causally-correct learning from data, with a focus on robotics tasks. She grew up in New Delhi, India where she got her applied-math engineering degree from DTU. After dabbling in software engineering and robotics research, she went on to study machine learning at Mila supervised by Prof. Liam Paull. Her master’s research was on the topics of bayesian deep-learning, meta learning and continual learning. Before joining AIMS CDT, she worked at the autonomous driving startup Wayve that aims to solve the self-driving problem using end-to-end deep learning.
Publications while at OATML • News items mentioning Gunshi Gupta • Reproducibility and Code • Blog Posts