Eleanor Row

Eleanor Row is a Researcher affiliated with the School of Electronic Engineering and Computer Science at Queen Mary University of London. Her work focuses on leveraging generative models to support music composition, particularly through AI-driven creativity tools. She leads the project Automatic micro-composition for professional/novice composers using generative models as creativity support tools, aiming to develop systems that assist composers in filling creative gaps via user-defined constraints.

Her research intersects music technology, artificial intelligence, and human-centered design. Key contributions include exploring transformer-based music overpainting for jazz piano variations and creating the JAZZVAR dataset to study musical variations in jazz performances.

Her publications highlight advancements in AI applications for music composition, emphasizing user-centric design principles and computational methods in creative domains.