WORK

IMAGE

"Feedback Studies"
Digital Paintings, Archive 2025

Series of procedural digital paintings developed during a residency in Manizales, Colombia. The process uses machine analysis of chromatic data through an iterative, feedback-driven process. Drawing from over 6,200 hex codes extracted from personal photographs, spanning graffiti, homes, mountains, and overcast skies of Manizales, collages using these hex codes are constructed and then fed back into the chromatic data analysis, creating a “machine learned” image of nature. This process is not a mere filter, it’s a recursive system that isolates what the algorithm deems the image’s most ‘essential’ traits, progressively stripping away the natural world’s intricacies to reveal only its distilled chromatic core. As these color palettes are extracted and reintegrated into the composition, reanalyzed and reorganized in a loop of feedback, the process gradually transforms the organic origins of the source material into synthetic plastified imagery. It asks not what machines can imagine for us, but what they do to the natural world when asked to interpret and reimagine it, often flattening nuance into flat and plastic.