Dion Ho developed and contributed a new radiative transfer solver package, pythonicdisort, to the conda-forge/staged-recipes repository. This work introduced a Python-based Discrete Ordinates Solver for the Radiative Transfer Equation, expanding the repository’s modeling capabilities for climate, atmospheric, and remote-sensing workflows. Dion collaborated with Daniel Nachun to ensure the package integrated smoothly into the conda-forge ecosystem, focusing on reproducible packaging and workflow improvements. The project leveraged Python and YAML for development and package management, demonstrating Dion’s skills in data analysis and collaborative open-source engineering. The contribution was focused and technically deep, addressing a specialized scientific modeling need.