alan-turing-institute/autoemulate
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingSimulation DevelopmentSimulation ModelingSoftware Developmentdata analysis
SyedHaider2084
PROFILE
Syedhaider2084
In December 2025, Shuo Huang integrated the SEIRSimulator into the alan-turing-institute/autoemulate repository, expanding its simulation ecosystem for epidemiological modeling. Using Python and leveraging skills in simulation development and data modeling, Shuo enhanced the simulator registry for improved discoverability and maintainability. The work included targeted updates to SEIR-related modules, focusing on clearer variable naming, comprehensive docstrings, and consistent linting annotations to support onboarding and code quality. Collaborating with Radka Jersakova, Shuo ensured robust implementation and thorough review. This integration established a foundation for scalable, accurate simulations and streamlined future development within the autoemulate project’s simulation framework.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
28
Activity Months1
Your Network
20 peopleSame Organization
@sussex.ac.uk3
Shared Repositories
17
Work History
December 2025
7 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary focusing on delivering SEIRSimulator integration and registry enhancements within alan-turing-institute/autoemulate. This period delivered a cohesive integration of SEIRSimulator into the simulator ecosystem, improvements to the registry for better discoverability, and code quality enhancements (naming, docstrings, linting annotations) to improve maintainability and onboarding. These changes lay the groundwork for accurate, scalable epidemiological simulations and faster iteration cycles.
7 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary focusing on delivering SEIRSimulator integration and registry enhancements within alan-turing-institute/autoemulate. This period delivered a cohesive integration of SEIRSimulator into the simulator ecosystem, improvements to the registry for better discoverability, and code quality enhancements (naming, docstrings, linting annotations) to improve maintainability and onboarding. These changes lay the groundwork for accurate, scalable epidemiological simulations and faster iteration cycles.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability97.2%
Architecture97.2%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingSimulation DevelopmentSimulation ModelingSoftware Developmentdata analysisdata modelingepidemiological modelingsimulation developmentsimulation modeling
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