Tom is a Postdoctoral Research Associate at the Mathematical Institute, University of Oxford. His research focusses on developing methods to improve the predictive ability of computational fluid dynamics in turbulent and/or multi-physics flow configurations, and using these methods to yield new insights into the behaviour of these systems. Leveraging recent advances in machine learning to do this in a more data- and compute-efficient way is of particular interest.
Tom completed his DPhil in the Department of Engineering Science at the University of Oxford in 2023, and his MEng at the University of Durham in 2018.
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