During my internship with the Ultrasound Research Group, I pursued independent research at the intersection of music, science, and sustainability. Using Python, I developed a system that converts numerical datasets into musical notes, allowing trends to be heard as auditory patterns. I applied this method to historical data on Kyoto’s cherry blossom peak dates, creating sonifications that highlight climate-related shifts over time. This project demonstrated how sound can serve as an innovative tool for scientific analysis and communication.