Dr Tom Diethe is an Applied Science Manager in the Core Machine Learning group of Amazon Research Cambridge. Tom is also an Honorary Resarch Fellow at the University of Bristol.
Tom was formerly a Research Fellow for the £15 million SPHERE Interdisciplinary Research Collaboration (IRC) at the University of Bristol, which is designing a platform for eHealth in a smart-home context. This platform is currently being deployed into homes throughout Bristol. You may have seen the SPHERE House featured on the BBC’s ‘Joy of Data’ documentary or in the wonderful Aardman animated overview of the project.
Tom specialises in probabilistic methods for machine learning and data fusion, including time-series modelling of human behaviour, unsupervised, active, and transfer learning approaches. He has a Ph.D. in Machine Learning applied to multivariate signal processing from UCL, and was employed by Microsoft Research Cambridge where he co-authored a book titled “Model-Based Machine Learning”, an early access online version of which is available at http://www.mbmlbook.com. He also has significant industrial experience, with positions at QinetiQ and the British Medical Journal, during which time he has performed application-driven research, and has pioneered large-scale production-ready software engineering projects. He is a fellow of the Royal Statistical Society and a member of the IEEE Signal Processing Society. Contact him at [email protected]