I translate dense, multi-method behavioral data into high-stakes organizational decisions that deliver measurable real-world outcomes.

The definitive thread across my work is a commitment to connecting human behavior with data architecture. I leverage the structural rigor of quantitative methods to isolate scope and scale, paired with the psychological depth of qualitative research to capture nuance, contextual friction, and lived experience. I hold the translation and delivery of findings to the same rigorous standard as data gathering; insight only carries power if it seamlessly anchors the teams executing the product and organizational roadmap.

The selected work below spans high-growth healthtech product optimization and data-driven public policy. While navigating different operational domains, my core principle remains identical: the true value of a mixed-methods practitioner lies in bridging the critical gap between human populations and the complex datasets meant to serve them.