Department of Engineering / Profiles / Professor Richard E. Turner

Department of Engineering

Professor Richard E. Turner

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Richard E. Turner

Professor of Machine Learning

Academic Division: Information Engineering

Research group: Computational and Biological Learning

Telephone: +44 1223 7 48517

Email: ret26@cam.ac.uk

Personal website


Research interests

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.

My current research interests include:

  • Probabilistic Machine Learning Fundamentals (including generative models and uncertainty-aware approaches)
  • Environmental Prediction (especially for weather, earth systems, and climate prediction)
  • Spatio-temporal Modelling (especially using a fusion of large-scale deep learning and probabilistic modelling for scientific applications)
  • Below you'll find information about my group.

You can stay up to date with my most recent research on Google Scholar.

Biography

Dr. Turner is a Professor of Machine Learning in the Department of Engineering at the University of Cambridge and Research Lead, AI for Weather Prediction, at the Alan Turing Institute. Dr. Turner was formerly Course Director of the Machine Learning and Machine Intelligence MPhil programme and Co-Director of the UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER CDT). He spent over three years at Microsoft Research as a visiting researcher. His work has been presented in oral presentations at top machine learning conferences including AAAI, AIStats, ICLR, ICML and NeurIPS and he has given keynote lectures and tutorials at the Machine Learning and Signal Processing Summer School, the International Conference on Machine Learning, Optimization & Data Science, and the Machine Learning Summer School. He has been the lead supervisor for 26 PhD students (13 now graduated) and seven Research Assistants and Associates. He has received over £10M of industrial funding from Microsoft, Toyota, Google, DeepMind, Amazon, and Improbable and over £15M of funding from the EPSRC as Principal or Co-investigator. Dr. Turner has been awarded the Cambridge Students' Union Teaching Award for Lecturing. His work has featured on BBC Radio 5 Live’s The Naked Scientist, BBC World Service’s Click and in Wired Magazine.