Explore variational inference techniques for analyzing large-scale genomic data in this conference talk from the Computational Genomics Summer Institute. Delve into the challenges of genome-wide association studies and the need for scalable inference methods in the era of massive biobanks. Learn how Bayesian approaches and variational inference can be applied to integrate molecular and functional information for understanding disease mechanisms. Discover the application of these techniques to blood GWAS, including the identification of thousands of genes associated with various traits. Examine the FactorGO method, which leverages information from under-powered studies to enhance functional genomic annotations. Gain insights into cutting-edge approaches for extracting meaningful biological information from vast genomic datasets.