We develop statistical models to:
identify associations between complex-structured data (imaging, spatial-genomic, geospatial, digital) from multi-platform data sources,
predict clinical characteristics of interest by integrating biomarkers generated from complex-structured data, and
understand the biological relevance and implications of our findings.
Our methods are developed in the context of various diseases such as cancer and neurodegenerative (Alzheimer’s) diseases.