Alberto Peces Contreras

Alberto (Toledo, 2000) is a biomedical engineer and data scientist with expertise at the convergence of signal processing, machine learning, and life sciences. His training spans Madrid’s top universities—Biomedical Engineering (URJC), Bioinformatics and Computational Biology (UAM), Statistics for Data Science (UC3M), and clinical software development (UPM)—each providing specialized rigor in computational methods, biological systems, mathematical foundations, and real-world application. During his studies, he completed an Erasmus mobility at the University of West Attica (Greece) to deepen his biomedical engineering foundations.

His research trajectory reflects this progression: from identifying biomarkers in Alzheimer’s disease to analyzing EEG signals in aging populations and developing non-parametric spectral decomposition methods. This advanced to clinical software development for Parkinson’s disease research at Hospital Gregorio Marañón, and now drives his work in BSICoS, where he applies advanced signal theory and machine learning to solve new biomedical engineering challenges under the supervision of Jaime Ibáñez and Alejandro Valdunciel.

Naturally curious and drawn to puzzle-solving, he believes rigorous thinking paired with creative problem-solving yields the most meaningful innovations.