Summary
Ruben Sierra is an investigator and PhD candidate in Biomedical Engineering with 12 years of research and applied experience at the intersection of physics, mathematics, and artificial intelligence. Trained in physics at the University of Zaragoza and holding advanced studies in mathematical modelling and computation, he has applied machine learning to differential equations, image registration via diffeomorphisms, and biological process modeling in healthcare research settings. He has worked across academia and technology institutes, translating theoretical methods into practical AI and big data solutions. Curious and methodical, Ruben pairs strong analytical foundations with hands-on experimentation, often exploring numerical and computational approaches that bridge physical laws and data-driven models. Based in Zaragoza, he鈥檚 focused on advancing AI-driven solutions for biomedical problems while completing his doctoral training.
12 years of coding experience
Doctorado en Ingenier铆a Biom茅dica, Doctorado en Ingenier铆a Biom茅dica at Universidad de Zaragoza
Master's Degree in Mathematical Modelling and Research Statistics and Computer Science, Master's Degree in Mathematical Modelling and Research Statistics and Computer Science at EHU