Kuan’s research centers on statistical, computational, and AI-driven approaches to challenges in genome biology. Her lab at Stony Brook utilizes tiling arrays and next-generation sequencing platforms to study biological regulation in cancer, aging, and psychiatric disorders. A key focus of her work is developing and applying statistical and machine learning methods to enhance the analysis, integration, and interpretation of high-throughput omics data.