Chinedu’s research centres on the noncoding genome, RNA biology, and computational genomics, with a particular focus on enhancer RNAs (eRNAs) and their role in bridging transcriptional and post-transcriptional regulation. His group investigates how eRNAs influence RNA stability, translation efficiency, and disease-relevant gene expression changes, combining bioinformatics, molecular biology, and data science approaches. Beyond RNA regulation, he has a strong interest in cancer genomics and digital pathology, applying integrative multi-omics, image analysis, and computational approaches to study cancer progression and regulatory variation. He also develops bioinformatics tools and data-driven methods to characterise noncoding elements, biomolecular interactions, and gene regulatory networks. Overall, his work seeks to uncover fundamental mechanisms of gene regulation while building translational frameworks that link genomic variation, molecular function, and disease.