Summary
Guillermo González is an Associate Professor at the University of Salamanca with 11 years of interdisciplinary experience at the intersection of computer science, mathematics and physics, specializing in data science and AI. His work spans machine learning, deep learning, NLP and data visualization, built on a foundation including a PhD in Fundamental Physics and advanced degrees in intelligent systems and nuclear physics. He has combined academic research with applied project leadership at AIR Institute and hands-on simulation and dosimetry work for high-intensity laser facilities, giving him rare expertise in both theoretical modelling and practical systems. Based in Salamanca, he brings a mathematician’s rigor to ML problems—he’s also a fan of the dihedral group of order 10, hinting at a playful affinity for algebraic structure in his approaches.
11 years of coding experience
8 years of employment as a software developer
MSc, Master in Intelligent Systems, MSc, Master in Intelligent Systems at Universidad de Salamanca
Degree, Mathematics, Degree, Mathematics at Universidad Nacional de Educación a Distancia - U.N.E.D.