David Tellez is a CTO and research-driven engineer with a decade of experience applying deep learning to high-impact problems, particularly digital pathology and breast cancer prognosis. He transitioned from a PhD and postdoc at Radboudumc into technology leadership at Aiosyn, combining academic rigor with product-focused engineering to bring ML systems toward clinical impact. His background includes research stints at Mila and hands-on R&D roles that span algorithm development and deployment, reflecting a blend of experimental curiosity and production discipline. A polyglot traveler who embraces cultural immersion, he brings cross-cultural communication and adaptability to distributed teams. Notably, his career prioritizes accelerating technologies that meaningfully improve patient outcomes, not just publishing novel models.
10 years of coding experience
3 years of employment as a software developer
University of Seville
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Radboud University
Erasmus Exchange, Erasmus Exchange at Budapest University of Technology and Economics
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