Mathematics & Statistics

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Research Themes

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Bayesian machine learning

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Causal Supervised Learning

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Computational modelling of soft and complex interfaces

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Deep Learning and Mathematical proof checking

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Deep learning methods for approximating SPDE

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Explainable statistical models

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Financial trading and forecasting in energy markets

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Foundations of physics informed neural networks

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Risk, hedging and control via signatures and ML

Risk, reliability and machine learning

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Rogue waves

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Statistics and Machine Learning for Assessing Climate Risk

Sustainable and renewable offshore energy