The Lin Lab, led by Dr. Xihong Lin at the Harvard T.H. Chan School of Public Health, develops and applies integrative statistical, machine-learning, and generative AI methods to generate new insights into the causes, prevention, and treatment of complex diseases. By integrating whole-genome sequencing, multi-omics, and phenotype data from population cohorts and biobanks with functional genomic experimental data, our research spans the full spectrum from genetic variation to biological function, disease phenotypes, and actionable strategies for improving human health. Our work encompasses whole-genome sequencing analysis, variant functional annotation, functional genomics, disease risk prediction, causal inference, gene–environment interactions, and precision health. We also develop scalable, open-access  resources and tools that empower researchers to analyze population-scale genomic health data and experimental functional genomics data and accelerate trustworthy scientific discovery.