A fundamental goal of our research is to understand how cells generate phenotypic diversity through the dynamic regulation of gene expression. Our laboratory develops and applies experimental and computational approaches to study RNA life-cycle regulation, translation, and chromatin/genome organisation across a wide range of biological systems, spanning bacteria, yeast, and human cells. By integrating large-scale sequencing, single-cell technologies, and functional genomics, we investigate how post-transcriptional regulatory processes shape cellular behaviour in health and disease. A major focus of our work is the development of innovative methodologies that enable the quantitative interrogation of RNA fate in living cells, including RNA stability, translation, ribosome dynamics, transcript localisation, and non-canonical translation events. These approaches generate highly complex datasets that require large-scale computational processing and modelling. In parallel, we investigate epigenetic and transcriptional heterogeneity at single-cell resolution and use genome-wide perturbation assays to identify molecular mechanisms underlying cellular plasticity, adaptation, and response to environmental or therapeutic challenges. The resulting computational frameworks are applied to a broad spectrum of biomedical and microbiological questions, including cancer biology, antimicrobial resistance, host-pathogen interactions, and molecular diagnostics. By combining advanced sequencing technologies, large-scale functional screening, and machine-learning-based analysis, we aim to uncover regulatory principles that can be translated into new diagnostic strategies and novel approaches for therapeutic discovery. The requested NAISS resources will support the analysis of large-scale genomics, transcriptomics, translatomics, epigenomics, and functional screening datasets, as well as the development of computational methods for modelling RNA regulation and cellular heterogeneity across diverse biological systems.