The Music Informatics Group is a specialized research group within the Department of Computer Science and Artificial Intelligence at the University of the Basque Country UPV/EHU, Gipuzkoa Campus, San Sebastián.

Music Informatics is the study of computational models of music analysis, music generation, and music information retrieval. The group is interested in statistical modelling, computational musicology, music knowledge representation, and pattern discovery, from the perspectives of theoretical foundation through to algorithms and implementation.

current
• Darrell Conklin (group leader)
• Victor Padilla (Universidad Internacional de la Rioja, Madrid)
• Kerstin Neubarth (Europa-Universität Flensburg)
• Jorge Langa (doctoral student, UPV/EHU)

former staff
• Izaro Goienetxea (postgraduate researcher)
• Ray Whorley (postdoctoral researcher)
• Thomas Rocher (postdoctoral researcher)
• Louis Bigo (postdoctoral researcher)
• Elsa Fernandez (postdoctoral researcher)

guest researchers and visitors
• Tetsuro Kitahara (Nihon University)
• Eita Nakamura (postdoctoral researcher)
• Paco Gómez (Universidad Politécnica de Madrid)
• Joaquin Mora (Universidad de Sevilla)
• Dorien Herremans (postgraduate researcher)
• Tillman Weyde (City, University of London)
• David Rizo (University of Alicante)
• Ryan Groves (postgraduate researcher)
• Olivier Lartillot (postdoctoral researcher)
• Sertan Senturk (postgraduate researcher)
• Peter van Kranenburg (postdoctoral researcher)
• Ruben Hillewaere (postgraduate researcher)
• Varun deCastro-Arrazola (postgraduate researcher)