Andreas Luyts
R&D Professional
Andreas Luyts is a dedicated AI scientist with a strong foundation in theory. He earned a Master’s degree in Theoretical Physics and a Master’s degree in Space Studies at KU Leuven, and studied further at the Université de Genève through an Erasmus program.
Harnessing AI and satellite data, we can transform data into actionable insights to solve Earth's environmental challenges.
Andreas first worked as a Data Scientist at ReBatch, where he gained experience with large language models (LLMs) and computer vision tasks such as object detection and semantic segmentation. Afterwards, he joined ESA Φ-lab as a National Trainee, using AI for Earth Observation. Here, he helped explore foundation models for Sentinel-2 data and generally learned to apply AI to critical environmental challenges.
In 2024, Andreas joined VITO as an AI Scientist for remote sensing, working mainly with satellite imagery. He has worked on various projects related to data compression, land cover mapping, and foundation models.
