Jethro R. Lee is a Music Technology Ph.D student at NYU's Music and Audio Research Lab (MARL) under the supervision of Dr. Morwaread Farbood. He is part of the Global Ph.D. program, so he will relocate to NYU Abu Dhabi to focus on his research after he finishes his classes in New York City. He has previously worked with Dr. Psyche Loui for a project assessing the Bohlen-Pierce scale as a measure of creativity, Dr. Eric Gerber to investigate a machine learning model for maximizing field hockey performance, and Dr. Victor Zappi to re-implement real-time, lightweight, virtual analog models for mobile phones. He received his bachelor's degree in data science and psychology from Northeastern's Khoury College of Computer Sciences, along with a minor in music performance.
He loves to explore how art can be perceived as a science by using data science’s interdisciplinary potential to delve into creative topics such as scrutinizing music cognition, assessing Spotify’s algorithms, and employing machine learning methods to classify the styles of composers such as Chopin. His research interests include tackling the objective nature of machine learning and AI to facilitate beneficial, yet subjective, endeavors, such as musical therapy. In his free time, he loves playing his three instruments (the viola, violin, and piano), reading dystopian novels, and playing Genshin Impact.