Miguel Fernández de Retana

Currently studying a degree in Data Science & Artificial Intelligence at the University of Deusto. Collaborated with the Basque Center of Applied Mathematics as a Research Technician in developing new quality metrics for assessing the quality of Markov Chain Monte Carlo methods based on Hamiltonian Dynamics. His research interests include Statistics and Machine Learning applied to areas like Natural Language Processing, Computer Vision, and applied tasks in the medical and health domains, as well as the usage of HPC architectures for large-scale projects.