Ph.D. candidate, ENGIE

Biography

Paul Mazoyer is a Doctoral Candidate at Mines Paris PSL and Engie Green, co-supervised by DTU. His current research is centered on integrating operational wind farm data into physics-driven energy yield assessment models for repowering projects. He employs data science techniques that incorporate physics modeling to reduce uncertainties. Before pursuing his Ph.D., Paul served as an R&D engineer at Leosphere (Vaisala), developing and implementing Lidar data analysis methods and algorithms tailored for the wind energy sector. His work has been presented at international conferences and published in peer-reviewed journals. Notably, his research has led to the successful filing of a patent.