Hi! My name is Phillip Long. I’m a second-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 analyze and generate music as part of the McAuley Lab. More specifically, I am interested in symbolic music generation and data-centric approaches to music processing. I have spent the last year assembling the largest known copyright-free MusicXML dataset, PDMX, which I just submitted to ICASSP last month. I am now working on how to best use symbolic data as synthetic music simulation for performance-level audio-domain generation and processing.

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!

Email: phillipnlong@gmail.com