Summary
Peter Van Kranenburg is an Assistant Professor in Music Information Computing with 14 years of experience blending musicology and computer science to study how we make and experience music using data-rich machine learning. He develops computational methods that reveal artistic fingerprints—such as automated recognition of composers’ personal styles—and has created algorithms to quantify melodic similarity, including analyses of Qur'anic recitation melodies. Based at Utrecht University and formerly a long-term researcher at the Meertens Institute, he bridges humanities inquiry and technical rigor across research and teaching. His background spans PhD-level computer science, musicology, electrical engineering, and practical musicianship as a conductor and organist, giving him a rare combination of domain knowledge and engineering skill. Colleagues value his curiosity for applying novel computational tools to cultural questions and his track record of turning musicological problems into reproducible algorithmic solutions.
14 years of coding experience
13 years of employment as a software developer
Master of Science, Electrical Engineering, Master of Science, Electrical Engineering at Delft University of Technology
Uitvaartbegeleiding, Uitvaartbegeleiding at Protestants Centrum voor Toerusting en Educatie
VWO, VWO at Wartburg College, locatie Revius
Ph.D., Computer Science, Ph.D., Computer Science at Utrecht University
Meerjarige Dirigenten Opleiding
English, German, Dutch, French