Freddie Kalaitzis is a Senior Scientist and former Senior Research Fellow with 16 years' experience applying machine learning to Earth observation, remote sensing, and real-world decision problems. He leads high-impact, multi-partner projects such as the €1M OpenSR contract with ESA to make super-resolution safer for Sentinel-2 imagery and has steered Frontier Development Lab teams on NASA- and USGS-funded disaster and water-mapping efforts. His background spans academia and industry—from a PhD in Machine Learning to roles at Microsoft, Element AI, and Aspia Space—bridging rigorous research with operational deployment. Freddie’s recent work includes the first comprehensive survey on the State of AI for Earth Observation, highlighting both technical potential and societal risks. He combines expertise in SAR and optical sensors, probabilistic modelling and deep learning, and often operates at the intersection of public agencies, industry partners and open science. Based in London, he also consults independently, routinely translating advanced ML methods into mission-ready geospatial applications.
16 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Artificial Intelligence, Master of Science (MSc) Artificial Intelligence at The University of Edinburgh
Bachelor of Science (BSc) Industrial Informatics, Bachelor of Science (BSc) Industrial Informatics at Technologiko Ekpaideutiko Idrima, Kavalas
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at The University of Sheffield
Gaussian processes tool-kit: An R package for GP regression.
Contributions:125 commits, 1 PR, 2 pushes in 5 years 9 months
r-packageregressionstatisticstool-kitrstats
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Freddie Kalaitzis - Senior Scientist at Frontier Development Lab