Richard E. Turner | Department of Engineering
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Department of Engineering

Professor Richard E. Turner

ret26

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.

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 where I co-led the team that built the Aurora Earth System foundation model and Research Lead for AI Weather Prediction at the Alan Turing Institute who co-funded the Aardvark Weather project with Microsoft and the EPSRC.  

Other past roles include founding 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 £40 million of funding as a Principal or Co-Investigator. I've been awarded the Cambridge Students' Union Teaching Award for Lecturing. My research has featured in the Times, Guardian, Financial Times, New York Times, Washington Post, and on BBC television and radio.

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

Richard E. Turner is Professor of Machine Learning at the University of Cambridge and Research Lead for AI for Weather Prediction at the Alan Turing Institute. He has helped pioneer AI approaches for modelling the Earth system. He led the Aardvark project, which launched a new era in AI weather forecasting and co-led the development of Aurora, a foundation model for the Earth system developed at Microsoft Research. Richard is the Cambridge lead of the £8M EPSRC Probabilistic AI Hub and was founding Co-Director of the UKRI AI4ER Centre for Doctoral Training. He has secured over £40 million in research funding and received the Cambridge Students’ Union Teaching Award. His work has featured in the Times, Guardian, Financial Times, New York Times, Washington Post, and on BBC radio and television.