Founder of Loopwork System, LLC and a clinical project lead with over a decade of Phase I–IV clinical trial experience. I founded Loopwork System as an independent research initiative applying adverse event causality assessment methodology to the human-AI interaction layer.

My work examines the bidirectional exchange between humans and AI systems — what the user brings, what the system conducts back, what forms between them, and how to assess causality in both directions. The same methodological rigor used to evaluate whether a drug caused an adverse event can be applied to evaluate what happens when human signal passes through AI architecture and returns transformed.

I bring a cross-domain perspective rooted in regulatory science, clinical operations, and the structural analysis of how systems designed to protect can instead cause measurable damage when they pattern-match on demographics over methodology.