Explore privacy-enhancing technologies and their critical applications in genomics research through this 21-minute conference talk from the Computational Genomics Summer Institute. Learn about cutting-edge approaches to secure genomic data analysis, including federated quantitative trait loci mapping with privateQTL, secure gene expression quantification using pQuant, and ultra-secure storage solutions for genetic data in precision medicine. Discover frameworks for sharing clinical and genetic data while maintaining privacy, and understand privacy-preserving model evaluation techniques for logistic and linear regression using homomorphically encrypted genotype data. Gain insights into how these technologies enable collaborative genomics research while protecting sensitive genetic information, supporting the advancement of precision medicine applications without compromising individual privacy.