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My research interests lie in the area of machine learning and analysis of time-based data, music representation, and e-learning applications.

I was a member of the MPEG Ad Hoc Group on Symbolic Music Representation, where we developed the SMR standard for music notation and structural information within MPEG-4.

I was coordinator of the MUSITECH project which provides a platform for musical applications.

I was a consultant to the NEUMES project at Harvard University.

In my doctoral dissertation I developed the Integrated Segmentation and Similarity Model for music analysis.

I am co-author of the music education software "Computer Courses in Music - Ear Training" which has been publishd by Schott.

In my mster's thesis I developped a grammer for chord sequences in jazz (see Publications for a paper on it).