My process begins with writing rulesets in both natural and formal languages that I then execute by hand. I allow myself to break those rules when I want to, letting my mind wander and embrace misinterpretations, as well as the limitations of my “drawing engine.” I cultivate a productive chaos where machines aim for precision: ambiguity, plurality, and the poetics of non-determinism are at the centre of my practice.

The resulting images are bold and diagrammatic: primitive forms pushed into complex systems, where the work’s meaning emerges not only from the final composition, but from the rhetoric of the algorithm itself. By humanising machine logic, I turn rules into rituals and code into a site of agency, where subjective interpretation becomes an essential parameter rather than a flaw.

This practice forms the basis of my PhD research, Drawing Like A Machine, which investigates the language of algorithms, focusing on ambiguity and agency. I’m interested in building human-machine collaboration models using algorithmic drawings as its medium.