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I am a PhD researcher at the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM), working in collaboration with Universal Music Group. The goal of my research is to bring machines closer to human-like music understanding. To achieve this, my work focusses on developing multimodal deep learning methods to enable automatic music understanding by learning richer representations from language and audio.

Since starting my PhD, I have spent time as a Student Researcher with the Magenta team at Google DeepMind and have completed research internships at Adobe in San Francisco, Sony R&D in Tokyo and The Alan Turing Institute in London (as an Engage student). Prior to my PhD, I worked as a data scientist and machine learning engineer, and obtained an MSci in Physics from Imperial College London. For my master, I specialised in complex systems and computational physics, with a thesis on spatial scaling in human mobility models.

When I take off my researcher hat, I enjoy doing all things related to electronic music: I DJ, produce, host a monthly radio show focussed on experimental dance music, and co-run Co-Select and Sisu, two collectives promoting a balanced gender representation in the dance music scene.

I also co-founded the Italian Music Tech Meetup, a community for researchers, artists and makers with a shared passion for music technology.

 

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