Qianyu Dong
I’m a Ph.D. candidate in the Statistics department at UC Santa Cruz, advised by Dr. Zehang Richard Li. My research focuses on statistical modeling to improve public health, with interests in Bayesian modeling, survey and sampling methods, and model validation. My current work develops small area estimation methods for binary and categorical indicators, and builds workflows and software packages for household survey data. I am also interested in adaptive clinical trial design, which I first explored during an internship at Ipsen.
I received my BS in Mathematics and Business Administration from the University of Nebraska-Lincoln in 2019, and my MS in Mathematical Statistics from Wake Forest University in 2022, advised by Dr. Staci Hepler.
Software
More on sae4health →surveyPrev
R package for processing, modeling, and visualizing the prevalence of binary health indicators in Demographic and Health Surveys.
sae4health
R Shiny application for subnational estimates and prevalence maps of 400+ binary indicators.
Multi-indicator SAE estimates
Website with pre-calculated estimates for selected countries and indicators.
Recent publications
All publications →-
2026
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2026
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2026