Deanne Taylor integrates large-scale genomic and multi‑omic data with machine learning, developing reproducible workflows and knowledge graph frameworks for high‑throughput sequencing and semantic interoperability. Applications span pediatric cancer genomics, cell biology, and disease mechanism discovery.