معرفی
Magdalena Fuentes serves as an Assistant Professor of Music Technology and Integrated Design & Media at New York University in New York, USA, affiliated with the Music and Audio Research Lab (MARL) and Integrated Design & Media (IDM) program. Her work bridges computational audio processing, music technology, and interdisciplinary design through open-source software development and community engagement.
Her research focuses on creating accessible tools for Music Information Retrieval (MIR) and sound analysis, evidenced by her leadership in developing the mirdata and soundata Python libraries. These resources standardize access to music and sound datasets while enabling reproducible research in tempo/beat estimation, urban sound classification, and multimodal analysis. Her work emphasizes practical applications in urban acoustic environments and educational resource development.
Dr. Fuentes maintains active GitHub contributions across multiple repositories including the Urban Sound & Sight dataset project and tempo estimation tutorials. Her community involvement includes collaborations with the LAMIR workshop and open-source maintenance, reflecting her commitment to advancing MIR infrastructure and pedagogical resources for researchers worldwide.
