Explore methods for analyzing biobank data in this comprehensive lecture from the Computational Genomics Summer Institute (CGSI) 2024. Delve into statistical, computational, and privacy challenges associated with large-scale genomic datasets. Learn about scalable estimators of SNP heritability for biobank-scale data, efficient variance components analysis for millions of genomes, and robust methods for uncovering gene-environment interactions in complex traits. Discover insights into genome-wide signals of polygenic epistasis and summary statistics-based heritability estimation with individual genotype level accuracy. Gain valuable knowledge on cutting-edge techniques and recent advancements in the field of computational genomics, supported by references to key publications and preprints in prestigious journals such as Bioinformatics, Nature Communications, and Genome Research.