Yannis Kalfas
R&D Professional
Yannis is an AI researcher specializing in developing applied software solutions for bioscience applications. He holds a BSc. in Computer Science from the Aristotle University of Thessaloniki (AUTH), an MSc. in Machine Learning and Computational Biology from the KTH Royal Institute of Technology in Stockholm, Sweden, and a PhD in Bioscience Engineering from KU Leuven. Yannis has gained computational modelling expertise through various roles in academia and industry, including working in a neurophysiology lab, an applied AI startup, and a bioscience engineering lab. His research primarily focused on applying neural networks to model visual neurons and monitor ecosystems, resulting in several published research papers. Yannis has also successfully completed multiple industry projects of various scales, securing a Hackathon win.
Harnessing EO technology and AI insights for a clearer and more precise view of environmental solutions.
He joined VITO in 2024 to work as a remote sensing and AI scientist for the Copernicus Global Land Cover and Tropical Forest Mapping and Monitoring service (LCFM) project. In this project, he will help provide a dynamic global land cover service at 10m resolution, building on top of previous land cover products and integrating lessons learned from other VITO projects.
