Brian McFee is Assistant Professor of Music Technology and Data Science at NYU Steinhardt and the NYU Center for Data Science. He holds a B.S. degree in Computer Science (2003) from the University of California at Santa Cruz, and M.S. (2008) and Ph.D. (2012) degrees in Computer Science and Engineering from the University of California at San Diego.

His research lies at the intersection of machine learning, signal processing, and information retrieval, with the overarching goal of developing algorithms to expose latent structure in recorded audio. He is an active developer of open source scientific software, and is the primary maintainer of the librosa package for audio content analysis.


Prior to joining the faculty at NYU, he was a Moore-Sloan Data Science Fellow at the Center for Data Science, and a Postdoctoral Scholar at Columbia University's Center for Jazz Studies. He is a recipient of the Qualcomm Innovation Fellowship.