Yago Diez is an associate professor and applied researcher with nine years of experience in Japan, specializing in deep learning for processing drone-acquired forest imagery and broader data science education at Yamagata University. His background combines a PhD in Computational Geometry with extensive research in medical image registration, computer vision, and point cloud matching from roles at ViCOROB and Universitat de Girona. He has coordinated and supervised EU- and nationally funded projects, bringing practical project management to academic research and student training. Comfortable bridging theory and application, he actively seeks collaborations and opportunities to mentor students and young researchers interested in training placements in Japan. An early adopter of GPU-accelerated algorithms, he leverages both mathematical rigor and hands-on implementation to tackle real-world imaging problems.
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