David Brüggemann

David Brüggemann

Senior Data Scientist
Academia
(Alumni)

David joined SDSC in February 2024. Before that, he completed his doctorate in computer vision at ETH Zürich. His doctoral thesis focused on multi-task learning and domain adaptation in neural networks for applications in visual recognition. In addition, he gained research experience in transfer learning and multi-modal learning. David’s current work at SDSC ranges from large-scale vegetation modeling based on satellite imaging to analysis of electronic health records with deep learning methods.

Projects

DIMPEO

In Progress
Detecting drought impacts on forests in earth observation data
Energy, Climate & Environment

Publications

Mentioned in

Case Studies

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