Liang-Yuan “Leo” Wu 吳兩原

I am a first-year CS PhD student at New York University's Music and Audio Research Lab (MARL) working with Prof. Magdalena Fuentes. I also work closely with Prof. Hua Shen at New York University Shanghai. My research so far has centered on everything we hear. Currently, I’m also interested in how audio interacts with other modalities: when different sources of information complement one another, when they conflict, and how AI models make sense of these relationships.

My earlier work in human-computer interaction grew out of a curiosity about how AI could support people. I was particularly drawn to accessibility, where the ways AI can help, or cause harm, become tangible through people’s everyday experiences. Working directly with users motivated me to build more capable systems while keeping human needs at the center of how I design and evaluate them. I want to build AI that can understand and use sound to act appropriately and interact naturally with people.

I hold a BS in Electrical Engineering from National Taiwan University and an MS in Computer Science and Engineering from the University of Michigan. Before starting my PhD, I spent two years conducting research spanning accessibility, healthcare settings, and machine learning.

Feel free to email me about research, collaborations, or shared interests! In person, you might also find me wandering around New York City or bouldering at VITAL. Let's grab a coffee—or, even better, get on the wall together!