The Koo Lab at the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory develops interpretable deep learning methods to decode the regulatory genome and unravel the sequence–function relationships that govern gene regulation and protein behavior. Our research focuses on designing deep learning architectures informed by biological principles, devising robust techniques to extract insights from high-performing models, and building foundational models for genomics and protein sequences---all with the goal of transforming computational predictions into mechanistic understanding that drives discoveries in biology and cancer research.