iiasa/message-ix-models
Jul 2025 – Jan 2026
5 Months active
Languages Used
PythonHTMLJavaScriptJupyter NotebookYAML
Technical Skills
CSV handlingExcel file handlingPandasPlotlyPythonPython programming
SHEPARD Jun
PROFILE
Shepard Jun
Shepard contributed to the iiasa/message-ix-models repository by developing and refining data ingestion, trade simulation, and scenario analysis features over five months. He implemented robust CSV and Excel file handling, enhanced commodity modeling for LNG, oil, biomass, and hydrogen, and improved data integrity through careful debugging and normalization. Using Python, Pandas, and YAML configuration, Shepard built visualization tools and diagnostics that support decision-making and model calibration. His work included scenario-driven workflows, shipping cost modeling, and rigorous testing infrastructure. The depth of his engineering ensured reliable, maintainable pipelines and accurate outputs, supporting both business value and technical excellence in energy modeling.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
50Total
Bugs
7
Commits
50
Features
25
Lines of code
153,836
Activity Months5
Your Network
27 peopleWork History
January 2026
1 Commits
Jan 1, 2026Concise monthly summary for 2026-01 highlighting delivered features, fixed bugs, impact metrics, and skills demonstrated for the iiasa/message-ix-models workstream.
1 Commits
Jan 1, 2026Concise monthly summary for 2026-01 highlighting delivered features, fixed bugs, impact metrics, and skills demonstrated for the iiasa/message-ix-models workstream.
January 2026
November 2025
2 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focused on improving data ingestion reliability and commodity-handling accuracy in iiasa/message-ix-models. Delivered CSV-based data import, hardened oil-trade removal logic, and improved data integrity across the ingestion pipeline, contributing to faster onboarding, reduced risk of mis-removal of oil technologies, and clearer commit history for maintenance.
November 2025
2 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focused on improving data ingestion reliability and commodity-handling accuracy in iiasa/message-ix-models. Delivered CSV-based data import, hardened oil-trade removal logic, and improved data integrity across the ingestion pipeline, contributing to faster onboarding, reduced risk of mis-removal of oil technologies, and clearer commit history for maintenance.
October 2025
13 Commits • 10 Features
Oct 1, 20252025-10 Monthly summary for iiasa/message-ix-models: Concise overview of delivered features, fixed issues, impact, and skills demonstrated for business value and technical excellence. Key features delivered: - Fuel oil traded via pipelines: new trade mechanism with configurations and testing scenarios to simulate fuel oil pipeline trades. - Light oil trade configurations and logic for piped and shipped variants: expanded coverage for light oil in multiple transport modes. - Biomass shipped trade configuration and year_act integer normalization: ensure year_act is stored as integer; added biomass shipping in YAML/config; consistent data handling in import. - Shifted default fuel type to light oil for shipping; LNG shipping now uses light oil as fuel, improving environmental alignment and accuracy. - LH2 trade tech: introduced liquid hydrogen as a new commodity with updated configs/calibration; loil_piped added to covered trade technologies; biomass shipping support in config/calibration. - Scenario-focused solving flow: load_and_solve now prioritizes solving scenarios (not to_gdx); Westeros scenario instantiated for testing. - Testing infrastructure cleanup and bilateralize test refactor: streamlined tests by removing fixtures for clarity and maintainability. Major bugs fixed: - NaN values removed from flow_tech loil outputs; improved numerical stability. - Coal shipped flow corrected by adjusting outputs by +1 for accuracy. - Deprecated loil_piped option removed from config for debugging purposes; updated execution parameters accordingly. Overall impact and accomplishments: - Enhanced model fidelity and breadth of commodities (fuel oil, light oil, biomass, LH2) with safer, more realistic shipping fuel defaults; improved scenario analysis and policy-relevant insights. - Strengthened data integrity and QA through integer normalization, NaN fixes, and streamlined testing, reducing debugging time and increasing trust in outputs. - Expanded business value by enabling more accurate trade simulations, sustainability-aligned shipping configurations, and robust experimental workflows. Technologies/skills demonstrated: - YAML/configuration management and data schema normalization (year_act as integers). - Configuration-driven modeling and trade simulation enhancements. - Scenario-based solving workflow and testing regimen, including test refactoring for clarity. - Data quality, NaN handling, and small but precise output corrections for reporting accuracy.
13 Commits • 10 Features
Oct 1, 20252025-10 Monthly summary for iiasa/message-ix-models: Concise overview of delivered features, fixed issues, impact, and skills demonstrated for business value and technical excellence. Key features delivered: - Fuel oil traded via pipelines: new trade mechanism with configurations and testing scenarios to simulate fuel oil pipeline trades. - Light oil trade configurations and logic for piped and shipped variants: expanded coverage for light oil in multiple transport modes. - Biomass shipped trade configuration and year_act integer normalization: ensure year_act is stored as integer; added biomass shipping in YAML/config; consistent data handling in import. - Shifted default fuel type to light oil for shipping; LNG shipping now uses light oil as fuel, improving environmental alignment and accuracy. - LH2 trade tech: introduced liquid hydrogen as a new commodity with updated configs/calibration; loil_piped added to covered trade technologies; biomass shipping support in config/calibration. - Scenario-focused solving flow: load_and_solve now prioritizes solving scenarios (not to_gdx); Westeros scenario instantiated for testing. - Testing infrastructure cleanup and bilateralize test refactor: streamlined tests by removing fixtures for clarity and maintainability. Major bugs fixed: - NaN values removed from flow_tech loil outputs; improved numerical stability. - Coal shipped flow corrected by adjusting outputs by +1 for accuracy. - Deprecated loil_piped option removed from config for debugging purposes; updated execution parameters accordingly. Overall impact and accomplishments: - Enhanced model fidelity and breadth of commodities (fuel oil, light oil, biomass, LH2) with safer, more realistic shipping fuel defaults; improved scenario analysis and policy-relevant insights. - Strengthened data integrity and QA through integer normalization, NaN fixes, and streamlined testing, reducing debugging time and increasing trust in outputs. - Expanded business value by enabling more accurate trade simulations, sustainability-aligned shipping configurations, and robust experimental workflows. Technologies/skills demonstrated: - YAML/configuration management and data schema normalization (year_act as integers). - Configuration-driven modeling and trade simulation enhancements. - Scenario-based solving workflow and testing regimen, including test refactoring for clarity. - Data quality, NaN handling, and small but precise output corrections for reporting accuracy.
October 2025
August 2025
24 Commits • 11 Features
Aug 1, 2025Monthly summary for 2025-08: focused delivery of LNG economics improvements and framework integration within iiasa/message-ix-models, standardization of project metadata, and calibration readiness. The work enables more accurate LNG cost attribution, streamlined solve workflows, and enhanced visualization/diagnostics for scenario analysis. Business value includes improved decision support for LNG trading strategies, faster iteration cycles, and stronger model governance.
August 2025
24 Commits • 11 Features
Aug 1, 2025Monthly summary for 2025-08: focused delivery of LNG economics improvements and framework integration within iiasa/message-ix-models, standardization of project metadata, and calibration readiness. The work enables more accurate LNG cost attribution, streamlined solve workflows, and enhanced visualization/diagnostics for scenario analysis. Business value includes improved decision support for LNG trading strategies, faster iteration cycles, and stronger model governance.
July 2025
10 Commits • 3 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on business value, robust data handling, and visible technical achievements in iiasa/message-ix-models. Delivered visualization, diagnostics, and historical data capabilities that improve decision tooling, model fidelity, and data integrity. Implemented steel data inputs processing to support sector analyses, and completed essential data hygiene fixes to ensure outputs remain accurate and actionable.
10 Commits • 3 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on business value, robust data handling, and visible technical achievements in iiasa/message-ix-models. Delivered visualization, diagnostics, and historical data capabilities that improve decision tooling, model fidelity, and data integrity. Implemented steel data inputs processing to support sector analyses, and completed essential data hygiene fixes to ensure outputs remain accurate and actionable.
July 2025
Activity
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Quality Metrics
Correctness87.6%
Maintainability84.0%
Architecture84.8%
Performance81.6%
AI Usage26.8%
Skills & Technologies
Programming Languages
HTMLJavaScriptJupyter NotebookPythonYAML
Technical Skills
CSV handlingExcel file handlingHTMLJavaScriptJupyterJupyter NotebookPandasPlotlyPythonPython programmingPython scriptingYAML configurationalgorithm designalgorithm developmentconfiguration management
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