Resume
Academic Achievements
- Published multiple papers including 'Mind the Prompt: Prompting Strategies in Audio Generations for Improving Sound Classification' (ICASSP GenDA Workshop, 2025), 'CLAP4SED: Training-Free Multimodal Few-Shot Retrieval for Real-Time Sound Event Detection on Embedded Devices' (DCASE, 2024), etc.
Research Experience
- Was a research intern at Adobe Research and Descript, and an applied scientist intern at Amazon Alexa. Worked in industry for several years building machine learning products before starting his PhD.
Education
- PhD in Music Technology from New York University, advised by Dr. Juan Pablo Bello; MS in Electrical Engineering from the University of California, Los Angeles; BS from National Taiwan University.
Background
- Research Interests: Multimodal Foundation Model, Machine Learning & Signal Processing, and Embodied AI. Currently a Sr. Research Scientist at Bosch Research.