ISISNeutronMuon/MDANSE
Nov 2024 – Feb 2026
12 Months active
Languages Used
PythonRST
Technical Skills
Code FormattingData ConversionData HandlingFile ManagementGUI DevelopmentPython
Chi Cheng
PROFILE
Chi Cheng
Chi Cheng developed and maintained core scientific computing features for the ISISNeutronMuon/MDANSE repository, focusing on molecular dynamics visualization, data analysis, and workflow reliability. Over twelve months, Chi delivered new analytics modules such as Density of States and correlation functions, enhanced the MolecularViewer for performance and usability, and improved trajectory editing and regression testing. Using Python, Qt, and VTK, Chi refactored calculation cores, streamlined GUI components, and strengthened test automation. The work addressed both feature expansion and bug resolution, resulting in a more maintainable codebase and enabling researchers to perform reproducible, end-to-end analyses with improved data integrity and user experience.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
54Total
Bugs
3
Commits
54
Features
20
Lines of code
7,706
Activity Months12
Your Network
98 people
Work History
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for ISISNeutronMuon/MDANSE: Delivered three focused changes that improve correctness, visualization accuracy, and maintenance. Key features delivered: added clear property viewer on trajectory deletion integrated into View3D to prevent stale data; removed LAMMPS h5md format from converter and related code/tests to simplify maintenance. Major bugs fixed: corrected unit cell rendering when switching trajectories in MolecularViewer to ensure accurate molecular structures. Overall impact: improved reliability of trajectory visualization, reduced risk of displaying outdated properties, and simplified codebase by eliminating unsupported formats. Technologies/skills demonstrated: UI integration with 3D viewer, trajectory handling, visualization correctness, codebase cleanup and maintainability, testing considerations.
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for ISISNeutronMuon/MDANSE: Delivered three focused changes that improve correctness, visualization accuracy, and maintenance. Key features delivered: added clear property viewer on trajectory deletion integrated into View3D to prevent stale data; removed LAMMPS h5md format from converter and related code/tests to simplify maintenance. Major bugs fixed: corrected unit cell rendering when switching trajectories in MolecularViewer to ensure accurate molecular structures. Overall impact: improved reliability of trajectory visualization, reduced risk of displaying outdated properties, and simplified codebase by eliminating unsupported formats. Technologies/skills demonstrated: UI integration with 3D viewer, trajectory handling, visualization correctness, codebase cleanup and maintainability, testing considerations.
February 2026
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for ISISNeutronMuon/MDANSE. Delivered three major features with a bug fix, focusing on performance, usability, and maintainability to accelerate visualization workflows and reduce support overhead. The MolecularViewer was refactored for performance and maintainability, with rendering optimizations, new bond calculation options, enhanced atom selection, and a fix to the 3D viewer line scale factor. An MDANSE Examples link was added to the Help menu to streamline access to resources. MSD scaling was simplified by removing the weights configuration and updating the UI label from 'Apply weights?' to 'Apply scaling?'. These changes collectively improve runtime performance, simplify configuration, and improve onboarding, driving faster, more reliable visualization tasks for users.
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for ISISNeutronMuon/MDANSE. Delivered three major features with a bug fix, focusing on performance, usability, and maintainability to accelerate visualization workflows and reduce support overhead. The MolecularViewer was refactored for performance and maintainability, with rendering optimizations, new bond calculation options, enhanced atom selection, and a fix to the 3D viewer line scale factor. An MDANSE Examples link was added to the Help menu to streamline access to resources. MSD scaling was simplified by removing the weights configuration and updating the UI label from 'Apply weights?' to 'Apply scaling?'. These changes collectively improve runtime performance, simplify configuration, and improve onboarding, driving faster, more reliable visualization tasks for users.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a major feature expansion in MDANSE by implementing Density of States (DOS), Position Power Spectrum (PPS), Velocity Correlation Function (VCF), and Position Correlation Function (PCF) calculations, including cross-correlation between components. Performed a targeted refactor of calculation modules to improve maintainability and performance, and updated tests and documentation to cover the new capabilities. The release enhances the scientific analytics workflow by enabling end-to-end statistical analyses within MDANSE, reducing time-to-insight for researchers and enabling more rigorous comparisons with experimental data. No explicit bug fixes were required this month; effort focused on feature delivery and quality assurance.
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a major feature expansion in MDANSE by implementing Density of States (DOS), Position Power Spectrum (PPS), Velocity Correlation Function (VCF), and Position Correlation Function (PCF) calculations, including cross-correlation between components. Performed a targeted refactor of calculation modules to improve maintainability and performance, and updated tests and documentation to cover the new capabilities. The release enhances the scientific analytics workflow by enabling end-to-end statistical analyses within MDANSE, reducing time-to-insight for researchers and enabling more rigorous comparisons with experimental data. No explicit bug fixes were required this month; effort focused on feature delivery and quality assurance.
December 2025
November 2025
2 Commits
Nov 1, 2025November 2025 (ISISNeutronMuon/MDANSE) focused on stability and security hardening of the Trajectory UI. Delivered targeted fixes that improve reliability of the trajectory workflow and protect against HTML-based security risks, with direct impact on user experience, reporting accuracy, and security posture.
November 2025
2 Commits
Nov 1, 2025November 2025 (ISISNeutronMuon/MDANSE) focused on stability and security hardening of the Trajectory UI. Delivered targeted fixes that improve reliability of the trajectory workflow and protect against HTML-based security risks, with direct impact on user experience, reporting accuracy, and security posture.
October 2025
3 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for ISISNeutronMuon/MDANSE: Focused on delivering robust MDANSE features, improving reliability of saved runs and trajectory labeling, enhancing molecule visualization and SMARTS matching, and refining plotting GUI. Implemented targeted reliability fixes and code quality improvements to support reproducibility and faster onboarding.
3 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for ISISNeutronMuon/MDANSE: Focused on delivering robust MDANSE features, improving reliability of saved runs and trajectory labeling, enhancing molecule visualization and SMARTS matching, and refining plotting GUI. Implemented targeted reliability fixes and code quality improvements to support reproducibility and faster onboarding.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 | ISISNeutronMuon/MDANSE Concise monthly summary focusing on features delivered, bugs fixed, impact, and skills demonstrated. The period centered on performance optimization of weight adjustment logic, with refactoring to improve iteration efficiency and maintainability for larger-scale experiments. Overall, this month emphasized performance and code quality improvements to support faster experimentation and scalable analyses in neutron and muon data workflows.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 | ISISNeutronMuon/MDANSE Concise monthly summary focusing on features delivered, bugs fixed, impact, and skills demonstrated. The period centered on performance optimization of weight adjustment logic, with refactoring to improve iteration efficiency and maintainability for larger-scale experiments. Overall, this month emphasized performance and code quality improvements to support faster experimentation and scalable analyses in neutron and muon data workflows.
August 2025
15 Commits • 3 Features
Aug 1, 2025August 2025 (MDANSE) monthly summary: Consolidated Trajectory Editor enhancements with robust handling of selected atoms/clusters, preserved cluster names, improved data padding using more_itertools.padded, and refactored bonding selection; UI stability improvements via standalone SelectionHelper window; strengthened testing/regression framework with improved compare_hdf5 behavior, tolerance handling, and new regression tests to ensure reproducible results; overall impact: higher data integrity, reduced user friction, and more reliable scientific analysis.
15 Commits • 3 Features
Aug 1, 2025August 2025 (MDANSE) monthly summary: Consolidated Trajectory Editor enhancements with robust handling of selected atoms/clusters, preserved cluster names, improved data padding using more_itertools.padded, and refactored bonding selection; UI stability improvements via standalone SelectionHelper window; strengthened testing/regression framework with improved compare_hdf5 behavior, tolerance handling, and new regression tests to ensure reproducible results; overall impact: higher data integrity, reduced user friction, and more reliable scientific analysis.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on business value and technical achievements for ISISNeutronMuon/MDANSE.
July 2025
1 Commits • 1 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on business value and technical achievements for ISISNeutronMuon/MDANSE.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for ISISNeutronMuon/MDANSE. Focused on delivering a major framework refactor to enhance performance, correctness, and readability of the MDANSE Configuration and Calculation Core. This work lays a stronger foundation for future feature development and maintenance, with no formal major bug fixes reported this month.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for ISISNeutronMuon/MDANSE. Focused on delivering a major framework refactor to enhance performance, correctness, and readability of the MDANSE Configuration and Calculation Core. This work lays a stronger foundation for future feature development and maintenance, with no formal major bug fixes reported this month.
June 2025
May 2025
10 Commits • 2 Features
May 1, 2025May 2025 monthly summary for ISISNeutronMuon/MDANSE: Delivered key features and fixed critical bugs, improving regression reliability, UI feedback, and documentation quality. Key features delivered include the SFFSF Regression Test Enhancement (updated test parameters, added dcsf_input_file usage, included a trajectory, and added reference sffsf_short_traj.mda for validation) and Documentation Improvements for H_conv.rst and MDANSE docs. Major bug fixed was the Progress Bar Display bug (corrected max-value calculation in ProgressDelegate to prevent division by zero and ensure proper scaling). Overall impact includes a more reliable validation pipeline, faster issue detection during regression, clearer and more accurate documentation, and improved user experience during long-running tasks. Technologies/skills demonstrated include regression test design and execution, Python-based test and code maintenance, Git-based version control, documentation authoring in reStructuredText, and UI progress handling.
May 2025
10 Commits • 2 Features
May 1, 2025May 2025 monthly summary for ISISNeutronMuon/MDANSE: Delivered key features and fixed critical bugs, improving regression reliability, UI feedback, and documentation quality. Key features delivered include the SFFSF Regression Test Enhancement (updated test parameters, added dcsf_input_file usage, included a trajectory, and added reference sffsf_short_traj.mda for validation) and Documentation Improvements for H_conv.rst and MDANSE docs. Major bug fixed was the Progress Bar Display bug (corrected max-value calculation in ProgressDelegate to prevent division by zero and ensure proper scaling). Overall impact includes a more reliable validation pipeline, faster issue detection during regression, clearer and more accurate documentation, and improved user experience during long-running tasks. Technologies/skills demonstrated include regression test design and execution, Python-based test and code maintenance, Git-based version control, documentation authoring in reStructuredText, and UI progress handling.
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 highlights for ISISNeutronMuon/MDANSE: delivered a core performance optimization for NeutronDynamicTotalStructureFactor and conducted a comprehensive documentation overhaul to improve usability, onboarding, and maintainability. The changes preserve functionality while speeding execution and clarifying notations, with documentation updates spanning a new q-vector generation section and extensive .rst cleanup. No major bug fixes are documented for this period; the work strengthens the foundation for future enhancements and faster adoption.
6 Commits • 2 Features
Mar 1, 2025March 2025 highlights for ISISNeutronMuon/MDANSE: delivered a core performance optimization for NeutronDynamicTotalStructureFactor and conducted a comprehensive documentation overhaul to improve usability, onboarding, and maintainability. The changes preserve functionality while speeding execution and clarifying notations, with documentation updates spanning a new q-vector generation section and extensive .rst cleanup. No major bug fixes are documented for this period; the work strengthens the foundation for future enhancements and faster adoption.
March 2025
November 2024
6 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — ISISNeutronMuon/MDANSE: Delivered MDAnalysis converter enhancements and established stronger test coverage, significantly improving data integrity and reliability for conversion workflows. Key work focused on a cohesive feature set and quality improvements that reduce downstream risk for neutron scattering pipelines.
November 2024
6 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — ISISNeutronMuon/MDANSE: Delivered MDAnalysis converter enhancements and established stronger test coverage, significantly improving data integrity and reliability for conversion workflows. Key work focused on a cohesive feature set and quality improvements that reduce downstream risk for neutron scattering pipelines.
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Quality Metrics
Correctness90.6%
Maintainability90.6%
Architecture84.6%
Performance85.8%
AI Usage21.2%
Skills & Technologies
Programming Languages
PythonRST
Technical Skills
3D VisualizationAPI IntegrationBug FixingChemistryCode FormattingCode LintingCode RefactoringConfiguration ManagementData AnalysisData ConversionData HandlingData ProcessingData StructuresData ValidationData Visualization
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