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Bio.  I am a Physics Engineer from the University of Liège who is passionate about exploring the intersection of physics and computer science. Since 2023, I have been pursuing my PhD under the supervision of professors Marilaure Grégoire and Gilles Louppe. My thesis, entitled Understanding ocean deoxygenation using deep learning, is being conducted within the framework of the Multiple Threats on Ocean Health (MITHO) project, funded by the European Space Agency.

Academic CV

Research

Mangeleer, V., & Louppe, G. (01 November 2023). Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators [Poster presentation]. Machine Learning and the Physical Sciences, NeurIPS 2023, New Orleans, United States.
Mangeleer, V. (2023). Ocean parameterizations in an idealized model using machine learning [Specialised master, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/309229
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