Xiaowan Yi

Xiaowan Yi is an Associate Lecturer at the Creative Computing Institute, University of the Arts London (UAL), and a UKRI-funded PhD researcher in Artificial Intelligence and Music at Queen Mary University of London. She holds an MSc in Data Science and Machine Learning from University College London (2018–2019). Her research focuses on neural audio synthesis, music informatics, and generative models, blending computational methods with artistic practice.

• Education:
• MSc Data Science and Machine Learning, University College London (2018–2019)
• Languages: Fluent in English and Mandarin (reading, writing, speaking, and peer review).

Previously, she worked as a Research Engineer at Vision RT Ltd (2019–2021). Her interdisciplinary background spans music performance, digital arts, and AI, with professional affiliations including Camberwell, Chelsea, and Wimbledon Colleges of Arts. She maintains active creative and research profiles via her website (xiaowan-yi.com) and Vimeo channel.