I am a machine learning researcher and engineer specialising in principled modelling for high-dimensional signals. During my postdoctoral research at Academia Sinica, Hong Kong Polytechnic University, and Lancaster University, I developed structure-aware machine learning models across music, biometrics, and energy.
My engineering experience includes contributions to a machine learning framework for cognitive robotics and data pipelines for COVID-19 analysis.
I earned my PhD at Goldsmiths, University of London, where I developed and experimentally validated a cognitive information theory of music.