Frameworks
Original research frameworks
Methodologies, validation criteria, and named output classes developed through my work in microbiome science, food safety, and translational medicine. Each framework addresses a specific gap in how research is translated into practice.
Microbiome Medicine
Foundational MBTI Validation Criteria
A dual-validation framework for microbiome-targeted interventions
The first structured methodology for validating whether a microbiome-targeted intervention actually works. Requires simultaneous microbiome signature alignment and clinical efficacy, co-validating both the intervention and the underlying microbial signature.
Read the full frameworkFood Safety
Heavy Metal Tested & Certified (HMTc)
Category-specific contaminant limits using ALARA principles
A certification framework establishing per-metal contaminant standards for food, supplements, and consumer products. Designed to drive continuous improvement without punishing normal variability, using statistical risk matrices and defined surveillance protocols.
Read the full frameworkResearch
Microbial Metallomics
How trace metals shape pathogenic bacteria and drive disease
A framework integrating trace metal analysis into microbiome research. Examines how bacteria acquire, transport, and utilize metals like nickel, zinc, iron, and cadmium, and how environmental contamination selects for virulent, antibiotic-resistant pathogens.
Read the full frameworkMicrobiome Medicine
Major Microbial Associations (MMA)
Formalized disease-associated microbiome patterns
A structured system for documenting which microbial taxa are consistently elevated or reduced in specific disease states. MMAs form the foundation of the Microbiome Signatures Database and provide the evidence base for targeted intervention design.
Read the full frameworkCore Method
Microbiome Signature Triangulation Method
The master reasoning system for intervention discovery and validation
An eight-step pipeline that takes a microbiome signature as input, layers metallomics, maps functional dependencies, identifies ecological vulnerabilities, predicts interventions, triangulates against independent evidence, and produces validated recommendations or STOP analyses. The meta-framework that connects MBTI, HMTc, MMA, Microbial Metallomics, and STOP.
Read the full frameworkTranslational Medicine
STOP (Suggested Termination Of Practice)
Evidence-based recommendations to discontinue harmful interventions
A named output class for recommending that specific medical interventions, treatments, or standard practices be discontinued based on emerging evidence that they are ineffective, harmful, or counterproductive. Applied across microbiome and metallomics research.
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