Richard E. Turner
Turner held a university lectureship in computer vision and machine learning in November 2012. His research spans perception, signals, learning and neuroscience. Turner coauthored Partitioned Variational Inference. The method supports probabilistic learning across separate data owners, with local data and model uncertainty represented in the inference framework. Turner works on generative and uncertainty-aware models, weather prediction and spatiotemporal learning. He leads AI-for-weather research at the Alan Turing Institute.
- Now at
- Alan Turing Institute and University of Cambridge
- Works
- 324
- Citations
- 6,306
- h-index
- 39
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2012
Cambridge lectureship
Turner held a university lectureship in computer vision and machine learning in November 2012. His research spans perception, signals, learning and neuroscience.
-
2022
Probabilistic federated learning
Turner coauthored Partitioned Variational Inference. The method supports probabilistic learning across separate data owners, with local data and model uncertainty represented in the inference framework.
-
As of October 2026
Weather and environmental models
Turner works on generative and uncertainty-aware models, weather prediction and spatiotemporal learning. He leads AI-for-weather research at the Alan Turing Institute.
Sources and credits
Photo: mlg.eng.cam.ac.uk; creator not stated. License: Not stated by source. Source: mlg.eng.cam.ac.uk. Cropped to a square and resized. Ask us to remove or replace this photo.