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.
Learn more about the Carter Lab.