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Minh Nguyen

Portrait Minh Nguyen

Minh Nguyen

Modellbasiertes Maschinelles Lernen


Tel: +49 (0)4152 87-2154

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Research interests

My research focuses on differentiable physics approaches for ocean modeling. Using a combination of numerical methods and data-driven ML, I develop techniques for gradient-based optimization in realistic ocean models. Applications include data assimilation, parameter tuning and parametrization learning. I am working on the EDITO ModelLab, an EU project aiming to create digital twins of the ocean.

2023 - Present: Postdoc reseacher in Model-driven Machine Learning for Climate and Earth Science.

2016 - 2023: PhD in Mathematics and Physics, Chair of Computational Science and Simulation Technology, Leibniz Universität Hannover.