Shiying's research focuses on elucidating disease mechanisms, with a particular interest in understanding the genetic architecture and molecular profiles of Alzheimer’s disease. A central component of her work involves cell-based models, leveraging multi-omics profiling to characterize molecular signatures associated with disease relevance and to bridge experimental systems with translational insights, informing preclinical modeling and therapeutic target prioritization.
More broadly, her research background spans complex disorders, particularly neurodegenerative diseases, with an emphasis on how germline and somatic variations influence disease risk, severity, and progression. Using statistical and computation methods, Shiying integrates genetic epidemiology with data-driven approaches to uncover disease heterogeneity and advance translational research.