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Arthur Filoche is a French electrical engineer specializing in applied mathematics and data science. His PhD research focused on the intersection of variational data assimilation and deep learning, particularly in the context of numerical weather forecasting. His research interests encompass physics, inverse problems, and machine learning applied to undersampled measurements. He is passionate about translating state-of-the-art data science methods into actionable insights for improving weather forecasting, specifically ocean wave forecasts in Western Australia. Additionally, he is involved in educational initiatives as a science teacher at Currambine Primary School and contributes to research aligned with the UN Sustainable Development Goals.
University of Western Australia • Perth
Conducting research on machine learning methods for numerical weather forecasting.
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