Intersectionality & Health Disparities

Overview

I co-lead the analytic and data-engineering workflow for an intersectional health-disparities study using pooled NHIS data. The work focuses on survey harmonization, reproducible computation, and quality assurance, and supports a manuscript under review.

My contribution

I co-lead the analytic and data-engineering workflow, with a focus on methodological fidelity, survey harmonization across periods, and reproducible computation, in coordination with the faculty investigator.

Survey Harmonization & Reproducibility

• Built harmonized datasets from pooled NHIS data, standardizing demographic and socioeconomic classifications for comparable grouping.
• Established a version-controlled workflow for harmonization rules, analytic steps, and outputs.
• Built systematic QA checks, including drift detection, missingness profiles, cross-tab validation, and denominator consistency.

Technologies & Tools

Deliverables & outcomes

• Produced harmonized, analysis-ready datasets for intersectional health-disparities research.
• Improved analytic reliability through standardized QA protocols and reproducible code.
• Supports a manuscript under review.