Hundreds of images. One subject. One algorithm. The Averages series begins with a question: if you gather every photograph of a forest — every angle, every season, every quality of light — and average them together, what remains? What is the essential forest? The process starts with a single word. That word generates a search. Hundreds of images are collected, clustered by machine learning into groups of visual similarity, then mathematically averaged within each cluster. What emerges is something between memory and hallucination — not a photograph, not a painting, but the distillation of how a subject appears across thousands of human interpretations of it. The result is both precise and dreamlike. The sharp particulars dissolve. What persists is essence: the characteristic light of a lavender field, the vertical rhythm of sequoias, the particular way a window frame divides inside from outside. Each work is printed on 315gsm cold press watercolor cotton rag using archival Giclée inks, on a matte, heavily textured surface. Plastic-free, vegan-friendly.