I’m a developer, artist, and masters candidate at ITP in NYU. With the support of of the Google Faculty Research Award granted to Daniel Shiffman, I work on open-sourcing machine learning models and making them assessible as a tool for artists, creative coders, and those new to programming.
I come from a full-stack programming background, but it would be challenging to label what I do as I’d consider myself a generalist. In addition to machine learning, I’m into hardware, analog modular synthesis, and fabrication. I aim to make projects that take a digital input and generate a physical, analog output such as kinetic motion or sound.