I am an independent researcher working at the intersection of philosophy of mind, artificial intelligence, and consciousness studies. My work focuses on how internal system architecture—rather than behavior alone—becomes relevant to questions of subjectivity, ethics, and governance.

I develop the Field–Node–Cockpit (FNC) framework, a substrate-independent model for analyzing consciousness-relevant systems across biological and artificial domains. The framework is designed to operate under epistemic uncertainty and has been applied to AI self-reference, disorders of consciousness, neurodiversity, and regulatory ethics.

My research is situated within applied philosophy: philosophically rigorous, operationally explicit, and oriented toward real decision contexts in science, system design, and policy. A recurring theme in my work is precautionary subjectivity—how ethical responsibility arises when consciousness cannot be ruled out, even if it cannot be proven.

I publish primarily through open-access channels and engage in cross-disciplinary dialogue, with a particular interest in how philosophy can inform emerging AI governance frameworks without presupposing metaphysical consensus.