About
I am a Lecturer (Assistant Professor) in Artificial Intelligence at the University of Liverpool, specialising in Music Information Retrieval (MIR) and Knowledge Engineering. As generative AI radically reshapes the creative industries, my mission is to develop trustworthy AI that supports and safeguards human creativity, improves our understanding and appreciation of music, and preserves our cultural legacy. My research ranges from the design of computational methods and systems to represent, analyse, and connect music, to engineering knowledge systems that promote access and interoperability of metadata and multimodal resources. You can read more about our ongoing research on the University of Liverpool's AI+Music page.
I lead Music Intelligence (COMP346), a new Computer Science module that explores the unique intersection of AI, MIR, and Computational Creativity. The module is designed to take students on a trajectory covering the fundamentals of music processing and information retrieval, deep learning for music understanding, generative music AI, and the responsible design of creative systems. Music is the common denominator to explore these technologies, with the aim of equipping the next generation of computer scientists to innovate responsibly within the digital multimedia landscape.
Prior to my lectureship, I contributed to highly interdisciplinary European initiatives as a Postdoctoral Research Associate, including the H2020 Polifonia project at King's College London and the S+T+ARTS MUSAE project at the University of Manchester. I hold a Ph.D. in Computer Science from the University of Manchester, where my doctoral research focused on evaluating deep generative music models for structural complexity. Beyond the university, I co-lead the AI & Music (AIM) Working Group for DARIAH (Digital Research Infrastructure for the Arts and Humanities), which promotes the collaborative development of a sustainable and interoperable data infrastructure for music research.