
Kendra Johnson contributed to the gem/oq-engine and GEMScienceTools/oq-mbtk repositories, focusing on backend and data workflow improvements for seismic hazard analysis. She enhanced geospatial data integrity by updating shapefile handling and spatial parameter logic, ensuring more reliable model inputs. Using Python and CSV, she implemented version-aware hazard calculations, refined plotting with dominant-peak detection, and improved seismic event classification by introducing depth-bound controls. Her work included robust error handling, code refactoring, and expanded test coverage, resulting in cleaner data structures and reproducible analytics. Johnson’s technical depth is evident in her attention to data quality, maintainability, and workflow reliability.

June 2025 - GEMScienceTools/oq-mbtk: Delivered significant enhancements to visualization, strengthened seismic event classification with depth-bound controls, and reinforced reliability through comprehensive testing and maintenance improvements. These changes enable more accurate, interpretable analyses and more robust downstream workflows, delivering clear business value for data analysts and operational users.
June 2025 - GEMScienceTools/oq-mbtk: Delivered significant enhancements to visualization, strengthened seismic event classification with depth-bound controls, and reinforced reliability through comprehensive testing and maintenance improvements. These changes enable more accurate, interpretable analyses and more robust downstream workflows, delivering clear business value for data analysts and operational users.
May 2025 performance summary across gem/oq-engine and GEMScienceTools/oq-mbtk. Delivered high-impact features, reliability improvements, and data-quality enhancements that strengthen site allocation accuracy, hazard calculations, and data workflows. Key features include a shapefile data update for model boundary alignment; ASCE version-aware hazard calculations; MFD plotting enhancements with dominant-peak detection; and subcatalogues generation with adjusted declustered data paths. Also fixed output file naming and added robustness in completeness analysis to improve troubleshooting and data product reliability. These efforts translate into more accurate hazard assessments, reproducible workflows, and clearer data products for downstream teams.
May 2025 performance summary across gem/oq-engine and GEMScienceTools/oq-mbtk. Delivered high-impact features, reliability improvements, and data-quality enhancements that strengthen site allocation accuracy, hazard calculations, and data workflows. Key features include a shapefile data update for model boundary alignment; ASCE version-aware hazard calculations; MFD plotting enhancements with dominant-peak detection; and subcatalogues generation with adjusted declustered data paths. Also fixed output file naming and added robustness in completeness analysis to improve troubleshooting and data product reliability. These efforts translate into more accurate hazard assessments, reproducible workflows, and clearer data products for downstream teams.
April 2025 monthly summary for gem/oq-engine focusing on improving AELO shapefile data integrity and spatial parameter handling to strengthen model input quality and reproducibility. Implemented targeted shapefile updates for years 3-4 and refreshed boundary data to fix spatial discrepancies, enabling more reliable downstream modeling.
April 2025 monthly summary for gem/oq-engine focusing on improving AELO shapefile data integrity and spatial parameter handling to strengthen model input quality and reproducibility. Implemented targeted shapefile updates for years 3-4 and refreshed boundary data to fix spatial discrepancies, enabling more reliable downstream modeling.
March 2025 monthly summary for gem/oq-engine: focused on delivering reliability, data integrity, and improved developer/user diagnostics. Improvements include (1) SourceFilter error messaging enhancements with actionable debugging guidance and alignment with master formatting for bounding box errors, and (2) Rupids_by_tag accuracy and data cleanliness fixes that correct distance usage when identifying the closest fault section to a site and prevent empty tag structures.
March 2025 monthly summary for gem/oq-engine: focused on delivering reliability, data integrity, and improved developer/user diagnostics. Improvements include (1) SourceFilter error messaging enhancements with actionable debugging guidance and alignment with master formatting for bounding box errors, and (2) Rupids_by_tag accuracy and data cleanliness fixes that correct distance usage when identifying the closest fault section to a site and prevent empty tag structures.
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