Matthias Karlbauer

Matthias Karlbauer

During his undergraduate studies of cognitive science, Matthias specialized in artificial intelligence with a focus on artificial neural networks and deep learning. He is passionate about applying machine learning algorithms in environmental sustainability contexts and completed his PhD at the University of Tübingen about global weather forecasting with deep learning in 2024. During his doctorate, he was granted stipends to visit the atmospheric sciences department at the University of Washington, USA, and the Department of Earth Sciences at Uppsala University, Sweden. Since then, he returned to the University of Tübingen to work as a postdoc, using machine learning to improve our understanding of small scale land-atmospheric feedback processes that lead to convection, cloud formation, and precipitation.

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  • Organization
    University of Tübingen
  • Profession
    Postdoc
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