Stylianos Mimilakis is a researcher in audio and music signal processing with 10 years of experience bridging academia and industry, currently developing audio ML at Neural DSP in Helsinki. He holds a PhD with honors in Audio Machine Sensing from TU Ilmenau and an MSc in Sound & Music Computing from Pompeu Fabra, and spent six years as a Marie Curie early-stage researcher at Fraunhofer IDMT. His work spans inverse problems, music source separation, machine sensing and deep learning, with hands-on internships at Adobe and Native Instruments that inform product-focused research. Comfortable moving ideas from theory to prototype, he combines strong signal-processing foundations with practical DSP and ML implementation experience in commercial audio tools.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Audio Machine Sensing, Doctor of Philosophy - PhD, Audio Machine Sensing at Technische Universität Ilmenau
Bachelor of Engineering (B.Eng.), Sound & Musical Instruments' Technologies, Bachelor of Engineering (B.Eng.), Sound & Musical Instruments' Technologies at Higher Technological Educational Institute of Ionian Islands
Master of Science (M.Sc.), Sound & Music Computing, Master of Science (M.Sc.), Sound & Music Computing at Universitat Pompeu Fabra
Academic Secondment, Signal Processing, Academic Secondment, Signal Processing at University of Surrey
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