Brian McFee

Post-doctoral Researcher

Group: Music Informatics


Personal Website


Dr. McFee develops machine learning tools to analyze multimedia data. This includes recommender systems, image and audio analysis, similarity learning, cross-modal feature integration, and automatic annotation.

As of Fall, 2014, he is a data science fellow at the Center for Data Science at New York University.

Previously, he was a postdoctoral research scholar in the Center for Jazz Studies and LabROSA at Columbia University.

Before that, he was advised by Prof. Gert Lanckriet in theComputer Audition Lab and Artificial Intelligence Group at the University of California, San Diego.

In May, 2012, he defended his dissertation, titled More like this: machine learning approaches to music similarity [bib|pdf].