Our lab studies how the genome encodes regulatory information and how this information is interpreted across different cellular and disease contexts. We focus on three core areas:

1. Mapping and Classifying Cis-Regulatory Elements
   We develop computational approaches to systematically identify and annotate cis-regulatory elements—such as enhancers, promoters, silencers, and insulators—across diverse tissues and cell types.

2. Decoding Regulatory Function
   We investigate how combinations of regulatory elements control gene expression programs, using integrative genomics and machine learning to uncover the logic of transcriptional regulation in both normal development and cellular identity.

3. Understanding Regulatory Disruption in Disease
   We explore how genetic variation and epigenetic alterations disrupt regulatory element function, with a focus on uncovering mechanisms that contribute to human diseases such as metabolic disorders, immune dysregulation, and cancer.