Summary
Jorge Condado is a Lead AI Scientist with nine years of experience applying deep learning to healthcare and biology, currently leading the AI division at Argit AI and serving as President & Founder of AI4MED. A Cambridge MEng graduate and "La Caixa" INPhINIT PhD fellow, he blends academic rigor—Fulbright research at Harvard Medical School/Mass General and doctoral work on age modeling—with practical engineering experience from Ocado Technology and early ML roles. His work spans algorithm development on simulated data, cryo-EM image processing, and translational projects for medical devices and pharmaceuticals. Pursuing a second master in Information Health Engineering while holding a research scholarship, he uniquely bridges wet-lab problems and production-ready AI, and he often prototypes across software, hardware, and mechatronics.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at EHU
Diploma in Grado Profesional Musical in Piano Music, Diploma in Grado Profesional Musical in Piano Music at Sociedad Coral De Bilbao
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master of Engineering - MEng Information and Computer Engineering, Master of Engineering - MEng Information and Computer Engineering at University of Cambridge
International Baccalaureate, International Baccalaureate at American School of Bilbao
Spanish, English, French