German Barquero is an AI research scientist with 11 years of experience, currently working at Meta Superintelligence Labs after a research internship at Meta. His background blends rigorous academic training (PhD work in computer vision) with practical R&D across face tracking, behavior prediction in dyadic interactions, and medical imaging projects at institutions like Universitat de Barcelona, EPFL exchanges, and CHUV. He has led development of production-grade tracking algorithms and organized a behavior prediction track for the DYAD ICCV'21 challenge, demonstrating both technical depth in RNNs/GANs/GNNs and community-oriented research leadership. Based in Zurich, he combines strong mathematical foundations with hands-on implementation experience spanning quantized models and object detectors—an unusual mix that lets him move ideas from dataset benchmarks to robust implementations.
11 years of coding experience
2 years of employment as a software developer
Master in Computer Vision, Computer Science, 9.6/10, Master in Computer Vision, Computer Science, 9.6/10 at Universitat Autònoma de Barcelona
Exchange Project in Computer Science, Computer Science, Exchange Project in Computer Science, Computer Science at Ecole polytechnique fédérale de Lausanne
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Universitat de Barcelona
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