I’m interested in how signals become thought.

I’m a Korean student raised in Hong Kong and based in New York, drawn to the question of how physical patterns become perception. I first approached that question through psychology, which made me interested in the mind as something elusive but still structured enough to study.

Music technology gave that same question a more material form. Through acoustics, frequency, synthesis, and audio systems, I became interested in the ways technical structures shape sensation, interpretation, and creative experience.

Over time, my focus shifted from sound itself to the signals beneath it. I came to that world first through hardware and then through software, and became increasingly interested in how signals can be represented, transformed, and made interpretable. I study Music Technology and Computer Science at NYU, with a minor in Mathematics, because together they give me the tools to work on the problem I care about most: what happens at the point where a system becomes legible to a mind. I think of signals as structure unfolding over time, mathematics as structure in abstract form, and computation as structure in process. For me, they are different expressions of the same underlying interest.

More recently, that question has taken a more literal turn. It has led me toward neural signals, especially EEG, and toward broader questions in cognitive science, signal processing, and computation. What draws me to this work is not only the chance to measure or build, but to understand how mental phenomena can be studied through formal systems without flattening their complexity.

Outside of academics, I snowboard, practice photography, and design sound.