Thierry Bertin-MahieuxPhD. Electrical Engineering, 2013
LabROSA, EE departmentSchool of Engineering and Applied ScienceColumbia Universitytb2332_AT_columbia_DOT_edu
This is my old website! New one at www.tbertinmahieux.com
I have graduated in February 2013 and joined Birchbox. I have been slow in answering emails since then, I apologize for this.
click here for the Million Song Dataset (Challenge)
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 have interned at Google and 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 under the supervision of Paul Lamere.
I am one of the creators of the Million Song Dataset and the associated challenge, and I am on the ISMIR steering committee.