Cambridge Centre for Professor Richard Turner
Professor
Contact information
Machine Learning Group
Computational & Biological Learning Lab
Department of Engineering, Trumpington Street
Cambridge
CB2 1PZ
United Kingdom
Biography
I’m Rich Turner, a Professor of Machine Learning in the Machine Learning Group at the University of Cambridge and a Research Lead, AI for Weather Prediction, at the Alan Turing Institute.
I am the Cambridge Lead for the EPSRC Probabilistic AI Hub.
My previous roles include Visiting Researcher at Microsoft Research in the AI4Science and AI teams, Co-Director of the UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER CDT), and Course Director of the Machine Learning and Machine Intelligence MPhil programme. I have received over £30 million of funding as a Principal or Co-Investigator. I’ve been awarded the Cambridge Students’ Union Teaching Award for Lecturing.
Here's my biography.
Richard E. Turner carried out his undergraduate degree at the University of Cambridge reading Natural Sciences and specialising in Physics. He then studied for his PhD in Computational Neuroscience and Machine Learning at the Gatsby Computational Neuroscience Unit, UCL. Following his PhD, he held an EPSRC Postdoctoral research fellowship which he spent at both the University of Cambridge and the Laboratory for Computational Vision, NYU, USA. He is now a Professor of Machine Learning in the Machine Learning Group which is part of the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge.
Research interests
My current research interests include:
1. Probabilistic Machine Learning Fundamentals (including generative models and uncertainty-aware approaches)
2. Environmental Prediction (especially for weather, earth systems, and climate prediction)
3. Spatio-temporal Modelling (especially using a fusion of large-scale deep learning and probabilistic modelling for scientific applications)