Héctor Laria is a postdoctoral researcher in computer vision with 12 years of experience spanning academia and applied ML research, currently based at the Computer Vision Center in Barcelona. He completed a PhD in Computer Vision and Deep Learning after an MSc (with honours) in Machine Learning, Data Science and AI from Aalto University, and has contributed to projects in video-to-text, room acoustics modelling, and representation learning. His work blends deep learning, generative models and NLP with evolutionary computation and reinforcement-learning–informed loss design, reflecting both theoretical depth and practical system-building. Héctor has a track record of leading international collaborations, developing dataset platforms and pushing state-of-the-art models for audiovisual understanding. Notably, his background combines signal-level modelling (room acoustics) with high-level multimodal description generation, giving him a rare cross-modal perspective on perception problems.
12 years of coding experience
2 years of employment as a software developer
Doctor of Science (Tech) - PhD, Computer Vision and Deep Learning, Doctor of Science (Tech) - PhD, Computer Vision and Deep Learning at Universitat Autònoma de Barcelona
Cambridge ELLIS Machine Learning Summer School, Artificial Intelligence, Cambridge ELLIS Machine Learning Summer School, Artificial Intelligence at University of Cambridge
Master of Science - MS, Machine Learning, Data Science and Artificial Intelligence, with Honours, Master of Science - MS, Machine Learning, Data Science and Artificial Intelligence, with Honours at Aalto University
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Universidad Complutense de Madrid
Contributions:1 release, 18 commits, 11 pushes in 1 year 10 months
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