Bilbao, Autonomous Community of the Basque Country, Spain
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Summary
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Senior
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Top School
Benat Uranga is a physicist-turned-founder with a Cambridge PhD bridging theoretical physics, machine learning and generative AI, and eight years of industrial research and engineering experience. He founded KoopAI and is a visiting research scientist at Cambridge, focusing on Large Language Models that accelerate scientific discovery and on quantum-inspired generative architectures. His past work includes a published quantum-inspired generative model and an AI system that detected VAT fraud for the Spanish Tax Agency using semi-supervised anomaly techniques adapted from astrophysics. Comfortable moving between deep theory and production systems, he has applied disentangled representations and rare-event detection in real-world settings. Based in Bilbao, he’s currently developing a stealth-mode startup that applies rigorous physics-inspired ideas to next-generation generative models.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Physics and Machine Learning, Doctor of Philosophy - PhD, Theoretical Physics and Machine Learning at University of Cambridge
Master of Science - MS, Theoretical Physics, 100%, Master of Science - MS, Theoretical Physics, 100% at Københavns Universitet - University of Copenhagen
Bachelor of Science - BS, Physics, 87.2%, Bachelor of Science - BS, Physics, 87.2% at Universidad del País Vasco/Euskal Herriko Unibertsitatea
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