Xavier Weber is a computer vision research engineer based in London with nine years of experience applying deep learning to real-world imaging problems. Currently at iProov, he focuses on secure biometric and face-presentation technologies, building on prior academic research in 3D object and human pose estimation at Queen Mary University of London. His background includes practical contributions to OpenCV during Google Summer of Code and intern research on document unwrapping at NAVER, showing a blend of open-source impact and industrial R&D. Xavier holds an MSc in Artificial Intelligence and a multidisciplinary data science and econometrics undergraduate foundation, which informs his rigorous, measurement-driven approach to vision problems. Colleagues value his ability to translate academic advances into production-ready systems while maintaining attention to robustness and security.
Bachelor of Science - BS, Econometrics and Operations Research, Bachelor of Science - BS, Econometrics and Operations Research at Maastricht University School of Business and Economics
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Queen Mary University of London
High School, High School at Stella Maris College Meerssen
The University of Sydney
Bachelor of Science - BS, Data Science and Knowledge Engineering, Bachelor of Science - BS, Data Science and Knowledge Engineering at Universiteit Maastricht
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