Summary
Andrea Vedaldi is a Professor of Computer Vision and Machine Learning at the University of Oxford with 17 years of research and teaching experience grounded in a PhD from UCLA. His work spans object detection, recognition, image representations and invariant local features, and he has led visual recognition research from postdoc roles in top vision labs to a faculty chair at Oxford. He combines deep academic scholarship with industry research as a Research Scientist at Meta, translating foundational ideas in invariant learning into practical systems. Known for rigorous contributions to visual geometry and representation learning, he also brings hands-on mentorship from years as a tutorial fellow and supervisor. Based in the Greater Oxford Area, he bridges theoretical insight and applied vision research across academia and industry.
18 years of coding experience
12 years of employment as a software developer
Laurea, Information Engineering, Laurea, Information Engineering at Università degli Studi di Padova
University of California, Los Angeles
Italian, English