Summary
José Camuñas is a PhD student in Computer Vision and Affective Computing at UOC’s AIWELL Lab with eight years of experience bridging academic research and applied software development. He focuses on decoding human behavior from multimodal and contextual data with an emphasis on explainability, combining rigorous computer vision training from UAB with a computer science foundation from UB. José has international research exposure through visiting fellowships at Northeastern University and practical full-stack/data science experience from industry internships. An AI, HPC and hardware enthusiast, he brings a hands-on approach to scaling experiments and prototyping reproducible models for eHealth applications. Notably, his work sits at the intersection of interpretability and real-world affective systems, aiming to make behavioral models both transparent and deployable.
8 years of coding experience