Research interests

His research focuses on statistical signal processing and machine learning methods in the context of audio and music processing, including high-resolution time-frequency analysis, music transcription, beat tracking, and signal decomposition. Additional interests involve multi-object tracking and deep learning-based hierarchical generative models for music visualisation and composition, with an emphasis on achieving expressive and structural consistency.