About
I am an Associate Professor of Machine Learning at the University of Oxford, where I lead the Oxford Applied and Theoretical Machine Learning (OATML) group. I made several contributions to modern Bayesian deep learning to support the quantification of uncertainty in deep learning models. These methods have been widely used in industry and academia across various application domains, such as medicine, robotics, computer vision, or astronomy.
Beyond my academic work, I have worked with various industrial partners on deploying robust ML tools safely and responsibly. I am a co-chair for the NASA FDL AI committee, an advisor with Canadian medical imaging company Imagia and Japanese robotics company Preferred Networks, and have recently been appointed as the Research Director for the UK AI taskforce.
More info at: https://www.cs.ox.ac.uk/people/yarin.gal/website/
Joined
October 2023
