Vitus Benson

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Hi Friend, great to have you here! :sparkles:

I am Vitus, currently an ELLIS PhD candidate at Max Planck Institute for Biogeochemistry, ELLIS Unit Jena and ETH Zürich. I am conducting my research under the supervision of Markus Reichstein and Fanny Yang.

I train deep neural networks on data of the Earth system. More specifically, I am focusing on two applications. On the one hand, I am interested in the applicability of large-scale AI to Early Warning Systems. Within the EarthNet initiative we are leveraging high resolution satellite imagery to build data-driven impact early warning systems – with applications to anticipatory action for droughts and heat waves. On the other hand, I study the carbon cycle with neural network emulators. In particular, I am assessing the use of AI for atmospheric transport and inverse modeling – analogous to how recent works have revolutionized numerical weather prediction and other areas of scientific machine learning.

My research interests are broadly speaking Deep Learning, Biogeochemistry, Climate Risk Mitigation and Complex Systems. I believe solving global challenges requires working together. Let us do just that!

news

Apr 12, 2024 :ferris_wheel: I am at EGU 24, presenting on atmospheric transport emulation, Tuesday April 16, 10:05am, Room C – let’s meet in Vienna!
Mar 12, 2024 :newspaper: This weeks Wochentaz (German newspaper) features an Interview with Markus & myself on AI for weather and early warning.
Mar 09, 2024 :evergreen_tree: Our paper on Global patterns of tree wood density has been accepted to Global Change Biology!
Mar 08, 2024 :zap: Our paper on Multi-modal learning for geospatial vegetation forecasting has been accepted to CVPR!
Mar 07, 2024 :microphone: We are discussing AI for resilience and early warning under climate change at this years Leipziger Buchmesse (in German).
Mar 01, 2024 :computer: We are hiring an ML Engineer for the EarthNet initiative – especially encouraging women & underrepresented groups to consider applying here!

selected publications

  1. CVPR
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    Multi-modal learning for geospatial vegetation forecasting
    Vitus Benson , Claire Robin , Christian Requena-Mesa , Lazaro Alonso , Nuno Carvalhais , and 5 more authors
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024
  2. ERL
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    Measuring Tropical Rainforest Resilience under Non-Gaussian Disturbances
    Vitus Benson , Jonathan F. Donges , Niklas Boers , Marina Hirota , Andreas Morr , and 3 more authors
    Environmental Research Letters, Jan 2024