We study how genomic information is transformed into functional cellular machinery and how this orchestration breaks down in human disease. By combining multi-omics data integration, network theory, and machine learning, our research pursues a central goal: to uncover the dynamic principles of gene regulation and protein interactions with sufficient depth to enable precise, therapeutic cellular reprogramming.