Deep Learning (DL) has already provided new and powerful solutions for common problems in the field of computer vision and I am confident that it has the potential to help us with traditional problems in Earth Observation too. In the Φ-lab, I work together with my colleagues and external partners on traditional use cases like crop-type mapping or cloud masking. We hope to find better and more efficient solutions by using new Deep Learning methods. At the same time, I investigate how we can capitalise both on the trend of smaller satellites in space and the new powerful AI-on-the-edge hardware to make new satellites smarter and more powerful.
I have a BSc and a MSc in Meteorology from the University of Hamburg (Germany) and, because my passion is computer science, I have been studying programming in my leisure time since high school.
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