I am a collaborative statistician and methodologist at the University of Colorado Anschutz Medical Campus, where I partner with research teams across the College of Nursing, OB/GYN, and PM&R. My work spans study design, psychometric analysis, and statistical modeling — helping investigators develop and validate measurement tools, design rigorous studies, and analyze complex data.
I hold an M.S. in applied statistics from Columbia University and an Ed.D. in quantitative policy analysis from Harvard University. This training gives me a versatile foundation in latent variable modeling, survey methodology, Bayesian methods, and all things missing data including causal inference that I bring to collaborative projects across disciplines. Before graduate school, I was a high school mathematics teacher — an experience that shaped how I collaborate. I focus on making complex methods accessible and meeting research teams where they are.
My collaborations have taken me across economics, education, early childhood development, and public health. I have led validation studies for caregiver-reported developmental assessments in partnership with the World Health Organization and contributed psychometric and statistical expertise to projects ranging from population-level measurement to policy analysis.
In my spare time, I build AI agents — most recently iconsult-mcp, which was named a Top 5 Global Demo by AI Tinkerers (Denver, April 2026).