Magdalena Fuentes

Magdalena Fuentes

Assistant Professor of Music Technology and Integrated Design & Media

Music and Performing Arts Professions

mfuentes@nyu.edu
Website

Magdalena is Assistant Professor of Music Technology and Integrated Design & Media at the Music and Audio Research Lab (MARL) and Integrated Design & Media (IDM) at New York University (NYU). Previously, she was a Postdoctoral Faculty Fellow at MARL and the Center for Urban Science and Progress (CUSP) at NYU. Magdalena did her Ph.D. at Université Paris Saclay in France, in the ADASP group at Télécom ParisTech, and L2S at CentraleSupélec. Before that, she obtained a B.Eng. in Electrical Engineering at Universidad de la República, Uruguay, where she also worked as a research and teaching assistant at the Engineering School and the Music School.

Her research interests include Machine Listening, Human-Centered Machine Learning, Multimodal Representation Learning, Self-Supervised Learning, Music Information Retrieval and Environmental Sound Analysis.

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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Courses

Deep Learning for Media

Deep learning, a sub-field of machine learning and artificial intelligence, has promoted breakthroughs in managing and creating media content. This course provides a hands-on, project-oriented introduction to deep learning for the classification, retrieval, and creation of media content, with emphasis in audio-visual content. Students create and work with deep learning models using Python libraries, and think critically about their application for media. Students develop an understanding of how to use these tools in the context of their work.
Course #
MPATE-GE 2039
Credits
3
Department
Music and Performing Arts Professions

Music Info Retrieval

Comprehensive overview of research in the multi-disciplinary field of Music Information Retrieval (MIR) which uses knowledge from diverse areas such as signal processing, machine learning and information and music theory. Exploration of how this knowledge can be used to develop novel methodologies for browsing and retrieval of large music collections. Emphasis would be given to audio signal processing techniques.
Course #
MPATE-GE 2623
Credits
3
Department
Music and Performing Arts Professions