Developed a generative identity system for LA Phil that translates musical elements such as rhythm, tempo, and frequency into dynamic visual outputs. The challenge was to create a flexible system that adapts across applications while maintaining visual consistency. To address this, I designed a rule-based system combining motion, typography, and generative graphics, allowing compositions to respond to sound data while remaining structured and cohesive.
Typographic Exploration︎︎︎
Installation︎︎︎︎︎︎
Process︎︎︎︎︎︎
Developed a custom algorithm using p5.js to drive the LA Phil generative identity system. The challenge was to translate real-time audio data into responsive typographic behavior. To address this, frequency input was mapped to parameters such as text size, rotation, and oscillation, allowing typography to react dynamically to sound. This code-driven approach supports a flexible visual system across motion and interactive applications.