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

Nov 23, 2024 :x: At TEDx Battipaglia I’ll speak about AI for communicating early warning messages.
Nov 07, 2024 :milky_way: Join the 1st AI4Carbon Virtual Workshop - Machine Learning meets Atmospheric Transport - on Nov 7th, 5pm CET!
Oct 26, 2024 :postbox: Interested in using Machine Learning for Early Warning Systems or Carbon Cycle Research? – consider submitting an abstract to our EGU sessions!
Oct 24, 2024 :speech_balloon: Join our Global Dialogue Platform session on Demistifying AI for Anticipatory Action in Berlin or online!
Aug 21, 2024 :green_heart: New preprint alert: Atmospheric Transport Modeling of CO2 with Neural Networks is on ArXiv now!
Aug 02, 2024 :dolphin: At ICDC 11 in Manaus, i’ll give the last talk, see you there!

selected publications

  1. ArXiv
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    Atmospheric Transport Modeling of CO2 with Neural Networks
    Vitus Benson , Ana Bastos , Christian Reimers , Alexander J. Winkler , Fanny Yang , and 1 more author
    arXiv, Aug 2024
  2. 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
  3. 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