Austin Rockman is a technologist and interdisciplinary researcher focused on artificial intelligence. His work centers on neural audio ML systems, with broader research interests in interpretability in large language models and the phenomenology of AI-mediated experience. This intersection explores how deep neural networks reshape human experience of sound, meaning, and perception.

As a composer and multi-instrumentalist, Austin creates immersive experiential music that lives in a delicate balance between noise, dissonance, musical pleasantry, and harmonic restraint. His practice draws on custom DSP and neural-audio processing systems to build texturally dense, emotionally charged sonic spaces that move between ambient and experimental electronic territories.

Beyond his technical practice, Austin is a writer and visual artist. His visual work, shaped by a lifelong engagement with cinema, has been exhibited in New York, South Korea, France, and Japan.