We use data to strengthen the interface between experimental systems and common disease in humans, such as Alzheimer's and Type 2 Diabetes. We develop computational methods to analyze genetic architecture, design translatable studies of model systems, perform data alignment to precisely quantify disease relevance, and share data through open science platforms.
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