Summary
Rebecca Fiebrink is a Professor at the Creative Computing Institute, University of the Arts London, and a long-standing researcher in HCI, applied machine learning, and music computing with an academic career spanning Princeton, Goldsmiths and postdoc work at the University of Washington. She develops tools and interaction techniques that let artists, educators and non-expert users apply machine learning to create new musical instruments, gestural interfaces, and interactive digital humanities systems. Her work blends audio signal processing, music information retrieval and pedagogy to connect computational thinking with creative practice, and she has a track record of supervising PhD projects and shaping curricula. Notably, she moved from industry work on hit musical apps to a distinguished research career (PhD Princeton), bringing rare practical product experience into academic research and public-facing creative technologies.
11 years of coding experience
3 years of employment as a software developer
MA, Music Technology, MA, Music Technology at McGill University
BS, BA, Computer Science & Engineering, Music, BS, BA, Computer Science & Engineering, Music at The Ohio State University
PhD, Computer Science, PhD, Computer Science at Princeton University
English, French