Data Driven Modeling of Alzheimer’s Disease using Imaging, Biomarkers and Cognitive Assessments

Investigate Alzheimer's Disease data with a data-driven approach and applied to different problems, all relevant to up-to-date questions within the field. Create models to investigate complex relationships within data and evaluate the predictive characteristics. The projects seek to do some combination of distilling and optimizing complicated clinical data toward practical tools for the diagnosis and clinical monitoring of Alzheimer's disease.