Staff

Marvin Höge

About Me

I am a post-doctoral researcher developing machine-learning methods and generating an open data set for hydrologic research and predictions.

My area of work is Scientific Machine Learning (SciML) and I presented its use and potential in hydrology at the online SciML conference in spring 2022 - please see: https://scimlcon.org/2022/



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Publications

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Address

E-Mail: marvin.hoege@eawag.ch
Phone: +41 58 765 5709
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: FC D41

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Focalpoints

Merging physics and machine learning for hydrosystem modelling

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