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Daniel Faronbi is a Music Technology PhD candidate in the Music and Audio Research Laboratory (MARL) at New York University. His research interests lie in using signal processing and machine learning techniques for the generation and analysis of music and other audio signals. This includes research in areas like Generative Audio Models, Music Information Retrieval, Computational Musicology, and more. He has served as a research intern for top audio companies like Dolby Laboratories and Bose Corporation He holds two bachelor's degrees in Music Technology and Computer Engineering with a minor in Mathematics from the University of Nebraska.

Daniel is also an active jazz pianist, music producer, and composer. He has performed for music groups spanning a wide variety of genres and has received both jazz and classical training. He has worked as a studio manager for Studio 381 at the University of Nebraska and has published three albums. Daniel has performed at world renowned jazz venues like the Django and Nublu and maintains and active performance schedule in NYC.

Courses

Advanced Topics in Music Tech: C++ Audio Application Development

C Programming for Music Technology (Lab Section)

Programs

Music Technology

Develop your expertise in an academic program that emphasizes creative experimentation and the integration of musical and technical skills.

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