Summary
Angel Villar-corrales is a postdoctoral researcher at Meta with eight years of experience bridging machine learning, deep learning, and computer vision to teach intelligent systems to interpret images, video and audio. He earned a PhD in Autonomous Intelligent Systems from the University of Bonn after an MSc in Advanced Signal Processing and Communications, and has hands-on expertise in Python-centric stacks (PyTorch, NumPy, SciPy) and signal-processing libraries like Kymatio and Librosa. His work spans academic and applied projects—from image clustering with scattering transforms to music information retrieval and semi-automatic score-to-audio alignment—demonstrating a knack for combining modern deep learning with classical signal-processing theory. Based in Paris, he brings strong foundations in convex optimization, information theory and digital communications, and a track record of supervising and teaching students alongside publishing research. A practical programmer who moves between research and reproducible code, he often develops tooling and notebooks that make complex audio–visual experiments accessible.
8 years of coding experience
2 years of employment as a software developer
Master in Advanced Signal Processing and Communications Engineering, Machinel learning, Signal Processing and Communications, Master in Advanced Signal Processing and Communications Engineering, Machinel learning, Signal Processing and Communications at FAU Erlangen-Nürnberg
Electrical Engineering, Electrical and Electronics Engineering, Electrical Engineering, Electrical and Electronics Engineering at Hochschule für Technik und Wirtschaft des Saarlandes Saarbrücken
Doctor of Philosophy - PhD, Autonomous Intelligent Systems, Doctor of Philosophy - PhD, Autonomous Intelligent Systems at The University of Bonn
Telecommunications Engineering, ENGINEERING, Telecommunications Engineering, ENGINEERING at Universidade de Vigo
Spanish, English, French, Galician, German