PHD Student at Eurecat - Centro Tecnológico de Catalunya
Barcelona, Catalonia, Spain
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Summary
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Senior
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Top School
Enric Gusó is an audio technology researcher and PhD candidate based in Barcelona with eight years of hands-on experience spanning live sound engineering, broadcast production, and machine learning for audio. He has combined industry-facing research at Eurecat and the Music Technology Group with internships at Dolby and Sony, focusing on deep learning for music source separation and playlist re-ranking by harmonic transitions. Comfortable both on festival FOH stacks and in research labs, he brings practical system design skills (Dante, Luminex, Smaart, Meyer MAPP) to complex audio-ML problems. His background founding a radio show and deploying redundant live networks gives him uncommon product-minded empathy for real-world audio workflows. Currently pursuing a PhD at Universitat Pompeu Fabra, he merges rigorous academic methods with applied solutions for music and sound technology.
8 years of coding experience
12 years of employment as a software developer
Bachelor’s degree in Audiovisual Systems Engineering, Telecommunications, Specialization in Sound and Music Technologies, Bachelor’s degree in Audiovisual Systems Engineering, Telecommunications, Specialization in Sound and Music Technologies at Universitat Pompeu Fabra
PhD student, PhD student at Universitat Pompeu Fabra - Barcelona
Contributions:1 release, 18 commits, 19 pushes in 6 days
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Enric Gusó - PHD Student at Eurecat - Centro Tecnológico de Catalunya