Synthetic Spatial Simulations is a body of work exploring spatial abstraction through computational processes and painterly reconstruction. Each piece exists as a suspended fragment, neither fully representational nor entirely synthetic & occupying the space between perception, memory, and simulation.
The forms emerge through layered systems that combine Python-driven logic, three-dimensional rendering, spatial recognition techniques, and iterative visual manipulation. Rather than depicting fixed environments, the work compresses movement, orientation, and perspective into dense, gestural compositions.
These images function as artifacts of spatial experience. Figures, paths, and objects are dissolved and reassembled into clouds of texture and motion, suggesting traces of presence rather than literal form. The result is a visual language rooted in abstraction, where realism is not rejected but destabilized.
The process is continuous and reflective. Elements are added, removed, and reconfigured over time through deliberate analysis and risk-based decision-making. External critique and alternative viewpoints are integral to this evolution, revealing behaviors and spatial conditions that may otherwise remain unseen.
At its core, the work seeks to operate at an infinitesimal scale approaching pointillism, micro-space, and spatial fragmentation where perception itself becomes the subject.
