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Óscar García Hinde has an extensive background in research and education in the fields of machine learning, data science, and signal processing. Óscar has worked as a research assistant and teaching assistant at Universidad Carlos III de Madrid, focusing on feature selection, Bayesian models, and energy distribution. Additionally, Óscar has experience as a visiting scholar at The University of New Mexico, researching Bayesian models for power load forecasting. Apart from their academic pursuits, Óscar has also worked as a sound technician at RTVE CORPORACIÓN and as a self-employed musician, performing as a pianist and keyboardist for various bands.