Summary
Enric Corona is a research scientist with a decade of experience at the intersection of generative AI, computer vision, and virtual characters, currently working at Google DeepMind in Zurich. His trajectory spans industrial R&D and academia, including a PhD candidacy at IRI (CSIC-UPC) and research roles at Google, Facebook, NAVER LABS Europe, and the University of Toronto. He has applied deep learning to challenging real-world problems—from object pose estimation with symmetry-aware models to industrial IoT optimization and thermal inspection systems—demonstrating skill in taking research to deployed systems. Enric’s work blends strong theoretical foundations with practical engineering, having moved between internships and applied roles that required rapid prototyping and production-minded thinking. Colleagues would note his knack for leveraging synthetic data and CAD databases to bridge simulation and real-world performance. Based in Zurich, he brings both multidisciplinary depth and a pattern of turning advanced research into impactful applications.
10 years of coding experience
5 years of employment as a software developer
Master in Intelligent Interactive Systems, Machine learning, Master in Intelligent Interactive Systems, Machine learning at Universitat Pompeu Fabra
UPC Universitat Politècnica de Catalunya
Spanish, Catalan, English