Worked on the satijalab/seurat repository to deliver a performance optimization for the RunPCA function, focusing on reducing memory usage and increasing throughput for large-scale single-cell genomics datasets. The approach involved adding support for BPCells matrices in both JackStraw and RunPCA, which broadened compatibility with diverse data formats and improved analysis efficiency. All updates were implemented in R, leveraging expertise in bioinformatics and single cell genomics. The work included a version bump and comprehensive changelog updates to maintain release quality, with documentation aligned to reflect the new features and ensure clarity for users working with large genomics workflows.