I am an independent researcher and systems architect working at the intersection of fundamental physics, computational neuroscience, and software engineering. My current primary focus is the formal verification and computational modeling of Relational Actualism (RA).

Relational Actualism is a unified process-ontological framework that models quantum mechanics, gravity, and biological complexity through the discrete growth of a causal Directed Acyclic Graph (DAG).

The foundational paper of the 7-part RA suite is currently under review at Foundations of Physics (passed desk rejection, awaiting editor assignment).

My active repositories are dedicated to the rigorous grounding of this framework:

• Lean 4 Formal Verification: Compiling the discrete-mathematical core of RA, including the frame-independence of the actualization criterion and the Causal Firewall threshold for biological autopoiesis.
• Computational Proofs-of-Concept: Python-based astrophysical models for RA-modified galactic rotation curves, and B3LYP density functional theory (DFT) pipelines verifying the thermodynamics of actualization in biological bonds.

Before dedicating my research to foundational physics, I spent a decade in Silicon Valley leading data science teams and designing enterprise data warehouses. I am also the founder of Mpathy, a software initiative building a next-generation Electronic Health Record (EHR) system to resolve systemic workflow failures in clinical practice.

Whether modeling the universal causal DAG, neural networks, or clinical data flows, my work is driven by a single through-line: understanding how complex systems process information, maintain causal closure, and generate emergent realities.

📫 Contact: [email protected]