Inventor, CSSR/DAS | Founder, BG4K LLC | Causal Convergence Across Fragmented Data Systems
CSSR/DAS (Cross-System Signal Recognition / Dynamic Adaptive Staging) is a patent-pending architecture for detecting causal convergence across fragmented data systems — before signals are reduced into isolated domain labels or specialty boundaries.
It identifies when independently observed signals from otherwise disconnected domains converge on a shared root cause, using unlabeled longitudinal data and no pre-specified hypothesis. The architecture is domain-agnostic: it applies wherever critical evidence is structurally distributed across systems that were never designed to communicate.
The initial proof-of-concept surfaced convergence patterns from unlabeled data that were later independently corroborated across published literature in separate fields.
Lejla Tetrick is the sole inventor of CSSR/DAS and founder of BG4K LLC. The architecture originated from years of manually tracking more than four thousand data points across environmental, clinical, immunological, and biological systems — mapping convergence patterns that existing frameworks were not designed to detect. That manual process became the founding proof-of-concept for a generalizable, domain-agnostic detection engine.
She works at the intersection of causal inference, complex systems architecture, and cross-domain signal integration.
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