
David Paley contributed to the cctbx_project, dials, and dxtbx repositories by engineering robust build systems, data processing pipelines, and developer tooling for crystallography workflows. He refactored core modules in C++ and Python to improve concurrency, reliability, and maintainability, such as migrating thread pools to Boost.Asio and enhancing cross-platform build scripts with CMake and SCons. His work addressed packaging compatibility, CI/CD automation, and data visualization, including advanced plotting features and OpenGL integration. By focusing on code hygiene, documentation, and environment management, David delivered solutions that reduced integration friction, improved reproducibility, and enabled scalable scientific computing for research teams.

October 2025: Strengthened installation reliability and build efficiency for the dials/dials project by addressing deprecated APIs and CPU detection logic. Fixed installation failures by replacing the deprecated conda.cli.python_api usage with subprocess.run for pre-commit installation, ensuring compatibility with newer Conda versions. Corrected CPU/resource detection by using os.sched_getaffinity to accurately determine available CPUs for parallel builds on Unix-like systems, boosting parallelism and resource utilization. These changes reduced onboarding friction, shortened local/CI build times, and improved packaging stability.
October 2025: Strengthened installation reliability and build efficiency for the dials/dials project by addressing deprecated APIs and CPU detection logic. Fixed installation failures by replacing the deprecated conda.cli.python_api usage with subprocess.run for pre-commit installation, ensuring compatibility with newer Conda versions. Corrected CPU/resource detection by using os.sched_getaffinity to accurately determine available CPUs for parallel builds on Unix-like systems, boosting parallelism and resource utilization. These changes reduced onboarding friction, shortened local/CI build times, and improved packaging stability.
August 2025 performance summary: Across cctbx_project, dials, and dxtbx, delivered cross-platform build reliability, concurrency improvements, and enhanced data handling that together reduce integration friction and enable scalable crystallography workflows. Key outcomes include migration to modern concurrency primitives, targeted build reliability fixes for Windows and non-Conda environments, and robustness improvements in OpenGL-enabled builds and data writing. Highlights by repo: - cctbx_project: Fixed build-time OpenGL dependency by adding mesa-libgl-devel to the PSANA environment; improved cosym module robustness for centered cells via partition handling refactor to extract the rotational component, boosting reindexing accuracy. - dials: Migrated ThreadPool to boost::asio::io_context for Boost >=1.87, with unit tests covering basic usage, concurrency, and exception handling; corrected SCons build linking for non-Conda compilers to ensure reliable cross-environment C++ test builds. - cctbx/dxtbx: Windows build stability improved by enabling /bigobj in non-bootstrap CMake builds; fixed nxmx trusted range handling by storing as a general integer to support larger values, preventing potential overflows. Overall impact: these changes reduce build failures, strengthen cross-platform reliability, and enable handling larger datasets, directly improving developer productivity and user experience. The work demonstrates strong proficiency in C++ build systems, cross-environment compatibility, and data integrity for crystallography workflows.
August 2025 performance summary: Across cctbx_project, dials, and dxtbx, delivered cross-platform build reliability, concurrency improvements, and enhanced data handling that together reduce integration friction and enable scalable crystallography workflows. Key outcomes include migration to modern concurrency primitives, targeted build reliability fixes for Windows and non-Conda environments, and robustness improvements in OpenGL-enabled builds and data writing. Highlights by repo: - cctbx_project: Fixed build-time OpenGL dependency by adding mesa-libgl-devel to the PSANA environment; improved cosym module robustness for centered cells via partition handling refactor to extract the rotational component, boosting reindexing accuracy. - dials: Migrated ThreadPool to boost::asio::io_context for Boost >=1.87, with unit tests covering basic usage, concurrency, and exception handling; corrected SCons build linking for non-Conda compilers to ensure reliable cross-environment C++ test builds. - cctbx/dxtbx: Windows build stability improved by enabling /bigobj in non-bootstrap CMake builds; fixed nxmx trusted range handling by storing as a general integer to support larger values, preventing potential overflows. Overall impact: these changes reduce build failures, strengthen cross-platform reliability, and enable handling larger datasets, directly improving developer productivity and user experience. The work demonstrates strong proficiency in C++ build systems, cross-environment compatibility, and data integrity for crystallography workflows.
July 2025 monthly summary for cctbx/cctbx_project. Implemented updated MTZ Google Drive upload setup instructions to reflect changes in storage quotas and the use of Shared Drives; clarified destination folder creation/linking, and updated service account sharing permissions to comply with new Google Drive policies. This work reduces misconfigurations and improves reliability of MTZ file uploads.
July 2025 monthly summary for cctbx/cctbx_project. Implemented updated MTZ Google Drive upload setup instructions to reflect changes in storage quotas and the use of Shared Drives; clarified destination folder creation/linking, and updated service account sharing permissions to comply with new Google Drive policies. This work reduces misconfigurations and improves reliability of MTZ file uploads.
May 2025 delivered targeted reliability improvements across core repos, focusing on packaging compatibility and CI hygiene. Key outcomes include a robust fix for Python package metadata discovery under setuptools >= 79, and CI/build-cleanup efforts that revert temporary installation workarounds, along with broader code hygiene improvements to reduce maintenance and improve reproducibility.
May 2025 delivered targeted reliability improvements across core repos, focusing on packaging compatibility and CI hygiene. Key outcomes include a robust fix for Python package metadata discovery under setuptools >= 79, and CI/build-cleanup efforts that revert temporary installation workarounds, along with broader code hygiene improvements to reduce maintenance and improve reproducibility.
April 2025 monthly summary focusing on key accomplishments across the cctbx project, dials, and dxtbx repositories. Delivered significant improvements to data quality, robustness, and developer productivity. Highlights include a shift to median-based peak selection in small cell powder plots, safeguards in postrefinement with delta_corr_limit, enhanced CI control for manual triggering, and packaging metadata discovery alignment with PEP 660.
April 2025 monthly summary focusing on key accomplishments across the cctbx project, dials, and dxtbx repositories. Delivered significant improvements to data quality, robustness, and developer productivity. Highlights include a shift to median-based peak selection in small cell powder plots, safeguards in postrefinement with delta_corr_limit, enhanced CI control for manual triggering, and packaging metadata discovery alignment with PEP 660.
February 2025 monthly summary for cctbx_project focusing on feature delivery and technical impact. Delivered enhancements to the small_cell powder plotting module, adding multi-range d-spacing filtering, and support for selecting all or any ranges. Introduced new plotting modes 'ratio' and 'simple' to provide more flexible visualization of small_cell powder data. No major bug fixes were recorded this month. Overall, the work improves data exploration and interpretation for crystallography workflows, enabling researchers to tailor visualizations to specific analysis needs and speeding insight generation. Technologies and skills demonstrated include plotting module enhancements, range-based data filtering logic, and disciplined version-control with targeted commits.
February 2025 monthly summary for cctbx_project focusing on feature delivery and technical impact. Delivered enhancements to the small_cell powder plotting module, adding multi-range d-spacing filtering, and support for selecting all or any ranges. Introduced new plotting modes 'ratio' and 'simple' to provide more flexible visualization of small_cell powder data. No major bug fixes were recorded this month. Overall, the work improves data exploration and interpretation for crystallography workflows, enabling researchers to tailor visualizations to specific analysis needs and speeding insight generation. Technologies and skills demonstrated include plotting module enhancements, range-based data filtering logic, and disciplined version-control with targeted commits.
January 2025 monthly summary for cctbx_project: Delivered a set of high-impact features and targeted maintenance work across XFEL and cctbx.xfel components, with a strong emphasis on reliability, maintainability, and developer onboarding. Key outcomes include improved MPI reliability for XFEL CI/runtime, clearer build/environment guidance, and a streamlined CI/CD workflow, underpinned by a data-processing API refactor to align with the project’s evolving architecture.
January 2025 monthly summary for cctbx_project: Delivered a set of high-impact features and targeted maintenance work across XFEL and cctbx.xfel components, with a strong emphasis on reliability, maintainability, and developer onboarding. Key outcomes include improved MPI reliability for XFEL CI/runtime, clearer build/environment guidance, and a streamlined CI/CD workflow, underpinned by a data-processing API refactor to align with the project’s evolving architecture.
Overview of all repositories you've contributed to across your timeline