Gene regulatory network models for brain disorders

The research of this group is focused on the integration of computational and experimental approaches to understand how genetic variation, rare and common, causes disease. Using various machine learning approaches we are developing network models of how gene regulatory networks drive cellular differentiation and encode expression of genes associated with different pathways. In particular we try to understand how dysregulation of gene expression may cause disorders of the brain such as ADHD and intellectual disability. We do this by integrating multiple gene expression, epigenetic and genotype/phenotype data sets.