FIRST-PRINCIPLES COMPUTATION

I design and build computational systems for modeling complex physical and biological processes. My work focuses on developing new mathematical frameworks and architectural abstractions that improve fidelity, stability, and scale in high-dimensional simulation.

This includes exploring methods for achieving deep sequential coherence across heterogeneous dynamical regimes, mitigating local interference propagation in constrained systems, and addressing structural bottlenecks that emerge when infinitesimal variations accumulate into macroscopic behavior.

I am currently working on foundational capabilities that remain in stealth.

THE ARCHITECT

I work at the intersection of physics, applied mathematics, and computational systems design. My focus is on constructing architectures capable of maintaining coherent transformations across complex configuration spaces, systems where small perturbations cascade through multi-scale structures, and where conventional frameworks fail to preserve paradigm coherence between classical, statistical, and algorithmic modes of reasoning.

My applied work includes designing computational substrates that map fundamental laplacian components to emergent behavior, enabling more reliable inference across domains where high-dimensional structure and dynamics interact.