Overview

As Co-Lead of the Transcription Project at AI4Musicians Lab, I'm working at the intersection of artificial intelligence and music technology. Our mission is to develop cutting-edge solutions for automated music transcription, making music more accessible and analyzable for musicians and researchers alike.

Research Music Information Retrieval Music Technology Machine Learning Team Leadership

Key Achievements

  • Paper accepted at NeurIPS 2025 Workshop on AI for Music.
  • Led development of competition framework for music transcription.
  • Implemented transcription scoring evaluation script.
  • Coordinated and led a team of researchers.

Technologies & Tools

Python MuseScore mir_eval Librosa LaTex Git