Scholar
Hendrik Vincent Koops
Google Scholar ID: rzqMKygAAAAJ
Senior Machine Learning & Audio Scientist @ Universal Music Group
Citations & Impact
Citations
578
H-index
12
i10-index
13
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Co-organized multiple editions of the AI Song Contest; featured in a New York Times article as part of the AI Song Contest team; guest editor for the TISMIR special issue on AI and Musical Creativity; work and music received airplay on numerous local and international platforms, including selected and nominated works at international film festivals.
Research Experience
- Works at Universal Music Group's Music and Audio Machine Learning Lab (MAML), developing Sollos algorithms for Sound Therapy content on Apple Music; created AI for an improvising self-playing piano for Jameszoo’s Music for 17 Musicians project; worked on AI computer vision, audio, and music projects at RTL Netherlands; served as a director of the AI Song Contest.
Education
- PhD in Music Information Retrieval from Utrecht University, supervised by Anja Volk and Remco Veltkamp; research internship at Carnegie Mellon University with Franz Franchetti; degrees in Sound Design and Music Composition from HKU University of the Arts Utrecht and Artificial Intelligence from Utrecht University.
Background
- Senior Machine Learning & Audio Scientist in the field of Music & Creative Artificial Intelligence. Research interests include Music Information Retrieval, computational modeling, etc.
Miscellany
- AI researcher and composer
Co-authors