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I am a PhD-trained principal data scientist and learning health systems researcher studying how clinical work becomes data—and how the processes that generate those data shape what health systems can validly learn from them.

My research sits at the intersection of clinical workflow, health informatics, implementation science, and health services research. I use EHR, administrative, and program data to understand how documentation practices, measurement choices, digital systems, and policy incentives influence observed patterns of care and outcomes. A central focus of my work is distinguishing meaningful clinical and operational signals from artifacts of documentation, workflow, missingness, and data infrastructure.

My work spans data-rich health systems and data-sparse community and global health settings. Across these environments, I partner with clinicians, informaticists, operational leaders, policymakers, and frontline health workers to develop and validate measures, evaluate changes in care delivery, and translate real-world data into evidence that health systems can act on.

Methodologically, my work draws on causal inference, quasi-experimental design, survival analysis, predictive modeling, and implementation research. Current areas of interest include EHR data quality and temporal validity, nursing documentation and workflow, CMS-aligned quality and value-based care measurement, community health workforce systems, and how AI-mediated documentation and decision support are changing the health data-generating process.

Below are selected case studies illustrating this translation in action. 

• From HIV Cascade Optimization to Medicare Advantage Gap Closure: How performance-based data frameworks from global health map to U.S. quality measures and care gap closure. Read case study.

• Workforce Maturity and Risk Adjustment Performance: Insights into how organizational capacity — not just documentation — drives risk adjustment success. Read case study.

• From Facility Readiness (SARA) to Network Adequacy: Why infrastructure and access capacity are upstream determinants of measurable outcomes in value-based care. Read case study.