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Building at the intersection of genomics, technology, and care delivery.
Precision diagnostics and structured care delivery. Turning molecular insight into clinical action across rare disease, oncology, and critical care.
AI-augmented clinical workflows and agentic systems. Building tools that make complex genomic data legible, actionable, and available at the point of care.
Translating clinical evidence into sustainable delivery models. Making the case that genetic testing is not a cost center but a cost-elimination strategy.
Genetic testing is the most underleveraged tool in modern healthcare. A single test costing a few hundred dollars can resolve years of diagnostic uncertainty, prevent tens of thousands in unnecessary procedures, and fundamentally change a patient's trajectory. The evidence is not emerging -- it already exists, across twenty organ systems and eighty peer-reviewed references.
The challenge is not scientific. It is structural. The systems that pay for care do not yet see genetic testing as the utilization management tool it is. Bridging that gap -- building the pathways, the evidence frameworks, and the economic models that make genomic medicine inevitable rather than aspirational -- is the work.