Summary
Gunshi Gupta is a Machine Learning D.Phil student at the University of Oxford (AIMS CDT) with 11 years of industry and research experience spanning reinforcement learning, robotics, and multi-modal training. Supervised by Prof. Yarin Gal, she combines deep learning research with practical systems experience from roles at MSR Cambridge, Wayve, and Mila, where she worked on meta-continual learning, Bayesian deep learning, and inverse RL in CARLA. Her background includes hands-on robotics systems (multi-robot SLAM in C++/ROS) and full-stack software development at Microsoft, enabling a rare mix of theory and production-grade engineering. She has a Research Master’s from MILA with a perfect GPA and a strong foundation in math and computing from Delhi College of Engineering. Known for bridging representation learning and world modeling, she has contributed to game-intelligence research and scalable deployment-oriented projects. Outside core research, she builds reproducible tools and demos (see her portfolio) that translate complex models into usable experiments.
11 years of coding experience
5 years of employment as a software developer
Research Master's degree, machine learning, 4.0/4.0, Research Master's degree, machine learning, 4.0/4.0 at Montreal Institute for Learning Algorithms MILA
Engineer’s Degree, Mathematics and Computing, 8.04 CGPA, Engineer’s Degree, Mathematics and Computing, 8.04 CGPA at Delhi College of Engineering
Science, Science at Springdales School,Dhaula Kuan
English, Hindi, French