Understanding the genomic architecture of tumors is key to unraveling their interactions with the immune system. Our research focuses on characterizing tumor-intrinsic genomic features—including mutations, copy number alterations, and transcriptomic signatures—that shape immune responses within the tumor microenvironment. By integrating multi-omics data with computational modeling, we aim to identify genetic determinants of immune evasion, tumor immunogenicity, and response to immunotherapy. This knowledge provides a foundation for predicting patient outcomes and designing personalized therapeutic strategies that enhance anti-tumor immunity.