My passion is to use mathematics and computer science to solve relevant problems. As an Industry Fellow from Airbus Defence and Space in the Φ-lab, I can do just that. My mission is to apply Artificial Intelligence (AI) techniques to Earth Observation (EO) data, in particular to Synthetic Aperture Radar (SAR) imagery. With Deep Learning (DL), I can use the full spatiotemporal potential of time series of observations. My research activities include land cover segmentation and crop classification. As an industry visiting researcher, I also try to use datasets, tools both from ESA and Airbus: Copernicus Sentinel-1 and TerraSAR-X for example. I have a MSc in Computational Science and Engineering from ETH of Zürich, where I learned the theoretical basis of Machine Learning (ML) and Computer Vision (CV). I also carried concrete projects in DL, for example with a Berlin-based Augmented/Virtual Reality (AR/VR) start-up. I am interested in other aspects of ML as well, such as Natural Processing (NLP), and I wrote my MSc Thesis about word representation and text classification for chatbots at SAP Conversational AI in Paris. I am fascinated that similar models, or also medical ones, can be applied to monitoring agricultural topics from space.
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