Digital Therapeutics for Dementia Care in China
Mixed-methods study of clinician adoption, barriers and implementation strategies for DTx in dementia care.
I build statistical and computational methods for biomedical, population, and complex real-world data.
Statistical Modeling · Machine Learning · High-Dimensional Data · Longitudinal & Panel Models
Computational Genomics · Epidemiology & Real-World Evidence · Mixed-Methods Research
R · Python · Stata · Git/GitHub · Data Visualization · Research Automation
A two-stage positive-unlabeled learning framework that reconstructs a cleaner training set from a highly heterogeneous population, improving test accuracy while prioritizing fewer missed undiagnosed hypertension cases.
A single-center retrospective cohort study of enteric-release budesonide in Chinese patients with IgA nephropathy, using longitudinal mixed models to quantify proteinuria change while tracking kidney-function trajectories.
A concept-stage transformer framework for cfDNA methylation representation learning, extending read-level sequence context toward sample-level aggregation and prediction.
An open, structured benchmark dataset for through-silicon vias, integrating published and released measurements with simulation-derived multiphysics records for data mining, surrogate modeling and reproducible TSV design research.
Additional work applying statistical modeling to cardiovascular risk, mental health, digital health, health-service utilization and regional economic structure.
Models physiological and lifestyle correlates of systolic blood pressure using LASSO, transformations and nonlinear regression.
Tests BMI and waist-to-hip ratio associations with anxiety and depression, including nonlinear and sex-specific effects.
Examines how socioeconomic and clinical factors shape choices between primary care and Grade-A hospitals in China.
Mixed-methods study of clinician adoption, barriers and implementation strategies for DTx in dementia care.
Panel-data study of how LGFV versus statutory debt structures relate to provincial industrial structure.
Data Science · Statistics
Computational Research
The University of Arizona
Department of Mathematics
Tucson, Arizona