Talks

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• AI for Fusion: Old Challenges, New Tools - AI for Science Symposium, Royal Swedish Academy of Sciences (Stockholm 2025) [Video] [Slides]

• Calibrated Physics-Informed Uncertainty Quantification - Workshop on Calibrating Uncertainties, Isaac Newton Institute for Mathematical Sciences (Cambridge 2025) [Video] [Slides][Poster]

• On Surrogate Modelling for Fusion - PhysicsX (London 2024) [Slides]

• FNO for Plasma Modelling - IAEA Workshop on AI for Accelerating Fusion and Plasma Science (Vienna 2023) [Slides]

• FNO for Plasma Modelling - IAEA Fusion Energy Conference (London, 2023) [Slides]

• FNO for Plasma Modelling - AI for sustainability workshop @ UCL (London, 2023)

• Fourier RNNs for modelling noisy physics data - IEEE ICMLA (Bahamas, 2022) [Slides]

• Informed Sampling of the Plasma Hyperspace for Digital Twinning - IAEA Fusion Data Processing, Validation, Analysis (Chengdu, 2021) [Slides]

• Optimising Physics Informed Neural Networks - PyTorch Ecosystem Day (Virtual, 2021)[Poster]

• Fluid Surrogates using Neural PDEs - SciML at RAL, STFC (Oxford, 2020) [Slides]

• Solving Fluid Dynamics with Neural Networks - FusionEP (Virtual, 2020) [Video] [Slides]

• Data Driven Modelling of Plasma in Tokamaks - IOP Physics in the spotlight (London, 2019) [Slides]

• Data Driven Modelling and Control of Plasma in Fusion Reactors - O’Reilly AI London (London, 2019) [Video]