I turn complex data into decisions leaders can trust, blending survey methods, analytics automation, and day-to-day program operations with clear documentation and reproducible results.
At the Centers for Disease Control and Prevention’s Pregnancy Risk Assessment Monitoring System (PRAMS) , I co-led national data weighting across 50 jurisdictions—covering most U.S. live births. I built modular SAS/R/SQL workflows with automated checks, sampling verification, decision-tree–based nonresponse adjustments, and standard outputs that shortened cycles and improved consistency.
Beyond the core weighting work, I serve as a statistical mentor and advisor at CDC. Through the Statistical Advisory Group, I work one-on-one with researchers to frame questions, prepare analysis-ready data, and choose appropriate methods—from regression, generalized linear models, and Lasso/Ridge through decision trees, random forests, and structural equation models. I also co-author peer-reviewed studies and review manuscripts for mathematical and statistical journals.
Outside my federal role, I design evaluation and reporting systems for public agencies—for example, leading survey analysis and SAS-based reporting for Virginia’s Comprehensive Harm Reduction program with reusable, privacy-safe code and synthetic data. Beyond public health, I expanded Louisiana State University’s Virtual Math Research Circle (VMRC) into a year-round, international program—securing multi-year funding, building partnerships (including a Zhejiang memorandum of understanding), and modernizing operations and student protections.
I’m at my best partnering with leaders and analysts to turn complex methods into audit-ready, scalable services that raise confidence in decisions.
