Óscar Pérez is a data scientist and tenured professor at Universidad Rey Juan Carlos with 11 years of experience applying machine learning and signal processing to biological and biomedical problems. He combines teaching across telecommunications, aerospace and design engineering programs with active research that bridges theoretical methods and practical biomedical applications. Trained in biomedical engineering and telecommunications and currently expanding mathematical foundations through studies at Universidade Aberta, he blends domain depth with rigorous quantitative skills. Based in the Community of Madrid, he is comfortable translating complex signal and data problems into teachable frameworks and researchable questions. Colleagues value his ability to navigate academic teaching loads while maintaining a focused research agenda that informs real-world biomedical challenges.
11 years of coding experience
Master of Biomedical Engineering, Master of Biomedical Engineering at Faculdade de Engenharia da Universidade do Porto
Charles III University of Madrid (Universidad Carlos III de Madrid)
Licenciatura, Matemática e Aplicações, Licenciatura, Matemática e Aplicações at Universidade Aberta
Contributions:25 commits, 22 pushes, 1 branch in 1 year 5 months
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