Michael is a researcher, engineer, and musician specializing in Music Information Retrieval (MIR) and Computational Musicology, His research focuses on applying state-of-the-art MIR techniques and computational data analysis to traditional and cultural music, aiming to uncover valuable insights from various musical and historical contexts through cutting-edge technology, Michael’s ultimate goal is to develop user-friendly computational tools that can support practitioners of traditional music while also capturing the attention and interest of general audiences.