LabROSA, EE department
click here for the Million Song Dataset
Welcome to my webpage! I'm a graduate student in Electrical
Engineering at Columbia University (New York). I specialize in
Machine Learning applied to Music and Audio in general. I am part of the LabROSA as a PhD student, my advisor being Prof. Dan
Ellis. My interests are very broad, but currently I'm working on scaling music information retrieval. You can take a look at my papers. I'm interning at Google, and last summer I was at The Echo Nest.
Before coming to Columbia, I have worked on Music Recommendation at the University of Montreal in the Computer Science department. My research advisors were Douglas Eck and Balazs Kegl. I also interned at Sun Microsystems Labs on the SITM project, supervised by Paul Lamere.
I am one of the creators of the Million Song Dataset and I am on the ISMIR steering committee.