Mengling’s research interests lie at the intersection of computational biology, machine learning and bioinformatics. She develops and applies data-driven approaches to understand complex biological systems, with a particular focus on high-dimensional and longitudinal biological data. Her work spans statistical modeling, machine learning, and multi-omics data integration. She is interested in building interpretable computational methods that help uncover biological mechanisms and translate large-scale biological data into actionable insights.