Johannes Hansen is a Founding Engineer and remote sensing specialist with a decade of experience blending academic research and industry impact across machine learning, statistics, and Earth observation. Holding a PhD in Computational Mathematics from the University of Edinburgh, he has driven ML-driven carbon scoring and scalable EO data products at Sylvera and now helps build a startup focused on applied remote sensing solutions. He excels at scalable data analysis, efficient computation, workflow automation, and clear data visualization, routinely turning complex spatiotemporal signals into operational insights. His background spans both hands-on research—developing change detection in SAR and signal processing for spaceborne lidar—and engineering leadership, having led small teams to productionize ML pipelines. Based in Berlin, he brings a rare combination of rigorous numerical methods and product-focused engineering, informed by field experience and a deep interest in real-world environmental monitoring. Outside work he recharges exploring forests, mountains, and the sea, which often inspires practical approaches to Earth Observation challenges.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Applied and Computational Mathematics, Doctor of Philosophy - PhD Applied and Computational Mathematics at The University of Edinburgh
Master of Philosophy (MPhil) Scientific Computing (Machine Learning), Master of Philosophy (MPhil) Scientific Computing (Machine Learning) at University of Cambridge
Bachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at Jacobs University Bremen
Visiting Student Physics, Visiting Student Physics at Lund University
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