Background

Durhan Yazır is an independent researcher working across pure mathematics, computational neuroscience, and machine learning engineering. In 2025 he founded SNT CoreX Dynamics — an independent, pre-startup research initiative through which he develops and publishes the SNT operator framework, a program spanning multiple scientific domains simultaneously. His research is registered under ORCID 0009-0007-4304-2066.

Without institutional affiliation, his work is self-directed and fully accountable: problems are selected on mathematical merit, results are computationally verified before submission, and every manuscript targets peer-reviewed publication. His approach is characterised by algebraic first-principles thinking — deriving results that connect apparently unrelated fields, from the structure theory of Lie algebras to the inference efficiency of billion-parameter language models.

Research Philosophy

Independent research carries a higher burden of proof than institutionally affiliated work. SNT CoreX Dynamics embraces this: every claim is formally derived or experimentally verified before submission, every computation is reproducible, and every manuscript is written to the standard of the most rigorous peer review.

The SNT framework is deliberately cross-domain. The same seven-operator algebra that governs C. elegans neural trajectories also defines the compression architecture of ShrikeSNT's KV-cache system. The SNT operator framework exists precisely to find the structural invariants that persist across scales and systems.

Research Domains

Lie Algebra Operator Theory Spectral Theory Neural Dynamics Connectomics Computational Theory LLM Inference Adaptive Inference Systems KV-Cache Optimisation Quantum Error Correction Fault-Tolerant Architectures Coevolutionary Systems Theoretical Physics