Pablo Sánchez is a PhD student and applied AI researcher with eight years of experience focusing on machine learning and biostatistics for cardiology, currently working under a PFIS (ISCIII) contract at IBSAL. He combines rigorous statistical training (Grado in Statistics) and advanced AI research (master’s and doctoral studies) with hands-on biomedical research experience at the Hospital Clínico de Salamanca and a predoctoral stay at Medis Medical Imaging. As a data scientist and co-organizer of PyData Salamanca and Datalab events, he bridges research and community outreach, translating complex models into reproducible Python and R workflows. His background includes cloud and database skills, GDPR-aware clinical data handling, and a knack for turning academic projects into award-winning prototypes. Notably, he has balanced research with practical roles—from sports officiating to retail—demonstrating discipline, teamwork, and strong communication across academic and public audiences.
8 years of coding experience
1 year of employment as a software developer
Doctorado, Biociencias (Inteligencia Artificial y bioestadística aplicada a la medicina), Doctorado, Biociencias (Inteligencia Artificial y bioestadística aplicada a la medicina) at Universidad de Salamanca
Máster Universitario, Investigación en Inteligencia Artificial, Máster Universitario, Investigación en Inteligencia Artificial at Universidad Internacional Menéndez Pelayo
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Pablo Sánchez - PhD Student, Contrato PFIS (ISCIII)