Hi! My name is Phillip Long. I'm a third-year undergraduate student at the University of California, San Diego (UCSD), where I study computer science. My research is focused on using machine learning to generate and analyze music as part of the McAuley Lab. I am currently working with Smule Labs to develop better systems for neural effects modeling. I previously assembled the largest known copyright-free MusicXML dataset, PDMX, which was accepted to ICASSP 2025, and created an extension to the popular symbolic music processing library MusPy, called MuspyExpress, to better extract expression text, accepted to the NeurIPS 2025 Workshop on AI for Music.

In my free time, you'll find me jamming with my band, in which I play the trumpet and keyboard. I continue to swim and play water polo, though at a much less competitive level than my high school days... I'm always up for a conversation about Lord of the Rings or One Piece lore!

I believe the internet holds the answer to almost anything, and so, alongside artificial intelligence, I'm really interested in webscraping. In the future, I hope to apply machine learning to hearing loss in musicians, a problem to which I have a personal connection. Additionally, my experience in water polo taught me that the sport's technological systems are highly antiquated and could use my computer science expertise.

To see the fruits of my research, take a look at my publications. Also, check out my portfolio of personal projects, and read my blog for thoughts and insights on my research!

Email: phillipnlong@gmail.com