Brian McFee

Brian McFee is an Assistant Professor of Music Technology and Data Science at New York University's Music and Performing Arts Professions school. He specializes in machine learning applications for music and multimedia data, with particular focus on structure analysis and audio processing.

• Director of Graduate Studies, MS
• Researcher at Center for Data Science

Research interests:McFee pioneers methods in music information retrieval, recommender systems, and multimedia signal processing. His recent work explores event-based metrics for music structure, hierarchical embedding learning, and sound event detection technologies.

Key awards:

• ISMIR Best oral presentation and best poster presentation awards (2014)

Academic contributions:McFee has advised multiple students including Qingyang (Tom) Xi (Music Technology) and Elena Georgieva (Data Science). His research spans both theoretical developments and practical software implementations like resampy and librosa libraries.