Our research work seeks to understand post transcriptional changes, including alternative splicing events, which are prevalent in head and neck cancer. We utilize computational biology methods to achieve a deeper understanding of these post transcriptional genomic alterations that are not readily apparent through sequencing alone. Splicing alteration and post transcriptional alterations represent an understudied gap in genomic knowledge that seeks to understand changes that occur between DNA mutations and ultimately expressed protein phenotypes in tumors. By harnessing computational tools, we can come closer to translating this genomic knowledge towards the delivery of precision cancer care in head and neck cancer.