During October 2025, Brendan Scully focused on improving the numerical stability of statistical utilities in the astropy/astropy repository. He addressed a bug in the Poisson confidence interval calculation for large N by updating the Kraft-Burrows-Nousek method to use the gammaln function, which prevents numerical overflow and enhances reliability for high-count data. Brendan implemented this fix in Python, leveraging his skills in numerical analysis and scientific computing, and added a regression test to ensure ongoing stability. His work deepened the robustness of Astropy’s statistics module, providing more accurate results for users relying on Poisson confidence intervals in scientific applications.