Bob L. T. Sturm (PI)
Associate Professor of Computer Science at the Royal Institute of Technology, KTH. He has degrees in physics and engineering, and specializes in signal processing and machine learning applied to music data.
Luca Casini (postdoc 2023-)
Passionate musician, interested in human-centric applications of deep learning.
David Dalmazzo (affiliated postdoc, 2022-2023)
Researcher in computer music interested in creating new computer tools to learn, compose and perform music. Focused in modelling harmony trajectories for real-time interactive systems.
Nicolas Jonason (PhD)
Interested in sound synthesis and performance generation.
Laura Cros Vila (PhD)
Machine Learning engineer with a background in Signal Processing. Interested in music listening, music cognition and model explainability, as well as playing the flute.
Joris Grouwels (PhD)
Operatic baritone and engineer. With his MUSAiC focus on analysis and criticism, he wonders how human and artificial musical agents together could tell meaningful stories. He wants to contribute to Ai systems that ally with artists, citizens and society rather than with exploitative business models.
Marco Amerotti (research assistant)
Computer Science student, musician and composer. Interested in combining computer Science with music, linguistics and art.
Ken Déguernel (postdoc, 2022)
Researcher in computer music interested in understanding, analyzing and modeling the creative processes used by musicians in their compositions, improvisations and stage performances, as well as creating new computer tools for musician-machine interactions, using AI, machine learning and ethnographics.
Rujing Huang (postdoc, 2020-21)
Ethnomusicologist, singer-songwriter, and composer. In 2019, she completed her PhD in Music from Harvard University, where her work crossed boundaries between musicology, music theory and sound studies, as well as Chinese history and philosophy.
Phaedra Kagiafa (visiting 2023)
Linguist with background in neurolinguistics and computational linguistics. Interested in researching the convergence of music, sound and language through NLP and machine learning. Explores the disciplinary boundaries between art, creativity and technology..
André Holzapfel (affiliated)
Associate Professor of Media Technology at KTH Royal Institute of Technology. His expertise lies in the areas of Music Information Retrieval and Ethnomusicology, and current research projects focus on historically informed design of musical instruments, and on mapping future application scenarios of creative Ai.
Oded Ben-Tal (affiliated)
A composer with interests in creative research and technologically enabled creativity. He is a Senior Lecturer in Music at Kingston University.
Mattias Sköld (affiliated)
Senior Lecturer in Composition at the Royal College of Music in Stockholm and a PhD candidate in Sound and Music Computing at KTH. Current research projects focus on the notation of sound for computer-assisted composition and transcription.
Shoogee Nulnul (postdog)
Excels at fetching balls, explosive fits of running, and boosting everyone’s morale.
MUSAiC is a project that has received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 864189).
MUSAiC 