About Cyril Voyant
https://www.cyrilvoyant.com/Research Director at Mines Paris – PSL (Sophia Antipolis, France), specializing in solar radiation forecasting, artificial intelligence, and renewable energy systems. My work focuses on developing statistical and machine learning methods to improve the predictability of solar resources, with applications for smart grids, storage, and energy transition strategies. I have also contributed to medical physics, notably in radiotherapy dose modeling.
I am particularly interested in reproducible research, FAIR data practices, and the integration of AI into decision-support tools for energy and healthcare. Author of 150+ peer-reviewed papers, member of European and national research programs (ANR, H2020), and recipient of international awards (PVSEC, Stanford Top 2% Scientists).