Jordi Pons is a research scientist based in Barcelona with 11 years of experience specializing in music, audio, and deep learning. He holds a PhD in Music Technology and has driven research at Stability AI and Dolby Labs on audio source separation, speech enhancement, and generative audio models. His background blends academic rigor—from teaching signal processing and working with large-scale music collections—to industry impact, applying neural representations to real-world audio products. Jordi’s work frequently bridges perceptual problems (e.g., cochlear implant listeners) and cutting-edge ML, reflecting both engineering pragmatism and musical sensitivity. He writes about the intersection of art and technology and brings a rare combination of formal music training (piano, clarinet, harmony) and telecom/engineering foundations. Colleagues describe him as a researcher who turns scientific insight into practical systems for creative audio applications.
11 years of coding experience
6 years of employment as a software developer
Telecommunication Engineering, Audiovisual Systems, Telecommunication Engineering, Audiovisual Systems at UPC - ETSETB TelecomBCN
Doctor of Philosophy (Ph.D.), Music Technology, Cum Laude, Doctor of Philosophy (Ph.D.), Music Technology, Cum Laude at Universitat Pompeu Fabra
Piano, Clarinet and Harmony studies, Piano, Clarinet and Harmony studies at Conservatori de Girona
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