starsimhub/starsim
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisData ScienceMachine LearningOptimizationPythonScientific Computing
Dan Klein
PROFILE
Dan Klein
During November 2024, Daniel Klein developed a robust calibration workflow for disease modeling in the starsimhub/starsim repository. He created a Jupyter Notebook tutorial that guides users through setting up base simulations, defining calibration parameters, and applying Optuna for hyperparameter optimization against observed data. Daniel enhanced the tutorial by adding an infectious component and refactored tests to clearly demonstrate calibration and confirmation steps, improving clarity and reproducibility. His work leveraged Python, scientific computing, and simulation modeling to strengthen data-model alignment and accelerate parameter tuning. The resulting workflow is well-documented, maintainable, and designed to facilitate onboarding for future contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
479
Activity Months1
Work History
November 2024
2 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11: Focused on delivering a robust, reproducible Starsim calibration workflow in the starsimhub/starsim repository. Implemented an Optuna-based calibration tutorial and subsequent enhancements to improve clarity, testability, and adoption. The work strengthens data-model alignment capabilities and accelerates parameter-tuning for disease models.
2 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11: Focused on delivering a robust, reproducible Starsim calibration workflow in the starsimhub/starsim repository. Implemented an Optuna-based calibration tutorial and subsequent enhancements to improve clarity, testability, and adoption. The work strengthens data-model alignment capabilities and accelerates parameter-tuning for disease models.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisData ScienceMachine LearningOptimizationPythonScientific ComputingSimulation ModelingTutorial Development
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