Selected as one of 200 top young scientists to participate in the 2025 Hong Kong Laureate Forum; several preprints available on inferring trust in automated intelligent systems from neurophysiological data, style-aware violin transcription, and transfer learning for brain decoding from fMRI data; papers accepted at Brain Stimulation, Annals of the New York Academy of Sciences; three late-breaking posters presented at ISMIR 2025; paper on piano performance evaluation using LLMs accepted at ICASSP 2025.
Research Experience
Associate Researcher at Sony Computer Science Laboratories, Inc. (SonyCSL); involved in multiple research projects including real-time EEG music preference decoding, style-aware violin transcription, and sound to piano key motion transcription.
Background
Associate Researcher at Sony Computer Science Laboratories, Inc. (SonyCSL) in Tokyo, Japan. Works at the interface between human communication and technology, focusing on understanding why people enjoy music and using these insights to build human-centered AI systems.