People

Julian McAuley is a Professor at UC San Diego, where he works on applications of machine learning to problems involving personalization, and teaches classes on personalized recommendation. He likes bicycling and baroque keyboard.

I'm an associate professor in CSE. My lab works on natural language processing, music processing, and machine learning.

Shlomo Dubnov is a Professor in Music and Computer Science Departments, mostly known for his work on Machine Improvisation and Music Information Dynamics. He occasionally composes music, mostly using AI, and likes the circus.

My name is Jingwei Liu, a 5th year Ph.D. candidate in Computer Music at UCSD. My work focuses on AI music generation, deep active inference, and neural machines.

With over 15 years of experience in music, audio, and data science, I am an audio machine learning researcher and a computer music Ph.D. candidate at UC San Diego. My research includes music & sound synthesis using deep learning.

Hi! I'm a 3rd year PhD student co-advised by Julian McAuley and Taylor Berg-Kirkpatrick. I'm broadly interested in all things controllable and efficient audio/music generation, and I'm a big proponent of open, ethical AIxMusic research. In my free time, I play volleyball and teach indoor drumline at POW Percussion Ensemble.

I am a second year PhD student in UCSD's Progsys Group, advised by Sorin Lerner. I also work closely with Taylor Berg-Kirkpatrick and Shlomo Dubnov. I'm currently interested in investigating how we can integrate the complimentary strengths of PL, AI, and HCI to develop human-interpretable structural constraints on generative models for the controllable generation of structurally coherent music.

I am a second-year PhD student advised by Prof. Julian McAuley. My research spans NLP, multimodality, and music recommendation. I love classical music and opera, and I have a growing collection of CDs and vinyl.

Hi, I'm Xin Xu, a CSE Ph.D. student at UCSD, advised by Prof. Julian McAuley. My interests include NLP and Musician-oriented AI Assistant. I love to interpret music pieces and play the piano. Art is my life.

I'm Ed! I'm a first-year PhD student advised by Julian McAuley, focusing on Recommender Systems and Generative Music. In my free time, I enjoy surfing, playing JRPGs, and learning music production.

I am a PhD student in Computer Science at UC San Diego, advised by Prof. Julian McAuley. My research focuses on Controllable Music Generation and Music Understanding. I love playing guitar and traveling to explore beautiful nature spots.

I'm a first-year PhD student working with Professor Julian McAuley, exploring the intersection of music and ML.

I'm Daniel Zhao, a 1st year Master's student here at UCSD. I'm currently interning under Zachary Novack and my current project is on the acceleration of inference time of autoregressive music generation models. I'm generally interested in research within NLP, ML & systems, and multimodal ML! Some of my hobbies include golf, photography, and playing the cello.

Hi there! I am currently a first-year master student here at UCSD. My research interests lie in Music Generation with Fine-Grained Artistic Control and Machine Learning Theories. My goal is to integrate cutting-edge technology into the music production workflow, empowering musicians to craft their unique sound for today’s era. I'm currently working on audio style transfer and causal structure analysis of motives in music creation.

Hi! I’m Xunyi Jiang, a second-year master’s student at UCSD, working closely with Xin Xu. My current research focuses on fine-grained control of symbolic music models and synthesizer-parameter prediction. Broadly, I’m interested in LLMs, mechanistic interpretability, and multimodal approaches to music. Outside of research, I play piano and cello and love attending concerts. Looking forward to collaborating on exciting projects together!

I am Amit Namburi, an undergraduate researcher working under the guidance of Professor Julian McAuley. My research centers on Recommender Systems, LLMs, and Music Information Retrieval. In my free time, I stay active by playing sports and going on long scenic drives.

Hi! My name is Phillip Long. I’m a second-year undergraduate student in the McAuley Lab mentored by Zachary Novack. I am interested in symbolic music generation and data-centric approaches to music processing. In my free time, I play the trumpet and piano, which sparked my interest in AI-Music.

Hey, I'm Matthew. I'm a graduate of UCSD and currently work at Output as a research engineer, designing tools for music producers. In my spare time, I enjoy playing piano and sports.

Hello! I’m Milan Gupta, a Junior at Francis Parker High School with a passion for generative AI and its applications in music and signal processing. In my free time, I enjoy producing EDM music and playing lacrosse.

I'm Ke Chen and currently the research scientist at Adobe Research. I have strong interests in audio representation learning, music generative model, music information retrieval, and audio source separation. I received a PhD in computer science and a master in music advised by Prof. Shlomo Dubnov and Prof. Taylor Berg-Kirkpatrick.

I am currently an assistant professor at the University of Michigan, working on human-centered generative AI for music, audio, and video creation.

I'm an Assistant Professor in Computer Science & Engineering at UC Merced, with research interests in multimodal machine learning and human-robot interaction to improve machines' understanding of human intentions. Outside of research, I enjoy leading orchestra rehearsals and writing music.

I am the Dannenberg Assistant Professor in the Computer Science Department at Carnegie Mellon University. I primarily work on empowering and enriching human musical creativity with generative AI. I received my PhD from the UCSD Department of Music in 2019 and was co-advised by Miller Puckette and Julian McAuley. I am proud to be the first PhD graduate associated with the UCSD MUSAIC program.