Biography
Hey! I’mstarting my third year as a Machine Learning D.phil student at the OATML group at University of Oxford. I’m co-supervised by Prof. Yarin Gal, Prof. Tim Rudner and Dr. Adrien Gaidon.
My current interests and projects revolve around leveraging advances in visual diffusion modeling for robotics. Some of the topics I have done research on over the previous year are: Mechanistic interpretability in transformer-based world models, tokenised visual world models, Causally-correct policy learning and uncertainty-constrained RLHF.
Prior to starting my Ph.D, I had been working as a deep learning researcher at Wayve, a startup based in London that is employing end-to-end deep learning to achieve autonomous driving. Before that I graduated from a Machine Learning Research Master’s at Mila (Sept 2020) where I primarily did research on the topics of bayesian deep learning, continual learning and inverse reinforcement learning. I was also an ED&I Fellow with the MPLS department at the University of Oxford in 2022-2023 cohort.
I was introduced to robotics during a year-long research internship at IIIT, (Hyderabad, India 2017-2018), where I worked on Multi-Robot SLAM and view-invariant recognition for place recognition and relocalisation.
Download my resumé.
Interests
- Diffusion modeling
- Policy Learning for Robotics
- Continual and Online Learning, Meta Learning
Education
D.Phil Machine Learning (AIMS CDT), 2024
University of Oxford
Research Master's in Machine Learning, 2020
Montreal Institute of Learning Algorithms
B.Tech in Maths and Computing (Applied Mathematics), 2016
Delhi Technological University (DTU/DCE)
