Yarin Gal
INTRODUCTION
Yarin Gal leads the Oxford Applied and Theoretical Machine Learning (OATML) group and his research covers machine learning for space applications. He is also a Turing Fellow at the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. He made substantial contributions to early work in modern Bayesian deep learning—quantifying uncertainty in deep learning—and developed machine learning/artificial intelligence tools. These tools have been deployed widely in industry and academia, with the tools used in medical applications, robotics, computer vision, astronomy, in the sciences and by NASA. Beyond his academic work, Yarin works with industry on deploying robust ML tools safely and responsibly. He co-chairs the NASA FDL AI committee and is an advisor with: Canadian medical imaging company Imagia; Japanese robotics company Preferred Networks; as well as numerous start-ups. Yarin also serves on the Space @ Oxford steering group
AREAS OF INTEREST
Machine Learning; Bayesian Learning; Deep Learning
RESEARCH GROUPS AND COLLABORATIONS
Oxford Applied and Theoretical Machine Learning (OATML)
PUBLICATIONS
http://www.cs.ox.ac.uk/people/yarin.gal/website//publications.html