The lab investigates the high-dimensional regulation of gene expression to uncover the mechanistic basis of aging physiology and disease. Its work integrates experimental and computational approaches to study dynamic changes in RNA metabolism and develop interventions to counteract aging-associated decline, cellular senescence, and chronic age-associated pathologies such as neurodegeneration.
The lab develops experimental and computational technologies based on long-read sequencing with single-cell and spatial resolution to capture the native state of RNA in cells, and builds machine learning tools to model fundamental biological mechanisms and design combinatorial interventions to increase human healthspan.
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