In August 2025, Jie Sun optimized co-occurrence computation in the scverse/squidpy repository by parallelizing the core algorithm with Numba. Jie introduced a new helper function that leverages prange for efficient processing across spatial coordinates and labels, enabling faster analysis of large image datasets. The work focused on scientific computing and parallel computing techniques, primarily using Python and Numba, and included improvements to documentation and type-checking for better maintainability. By addressing a specific performance bottleneck, Jie’s contribution provided higher throughput and scalability for co-occurrence analysis, demonstrating a strong grasp of data analysis and image processing in a research software context.