cdcepi/FluSight-forecast-hub
Mar 2026 – May 2026
3 Months active
Languages Used
YAMLPythonR
Technical Skills
data modelingdeep learningforecastingmachine learningData archivingData validation
Jiande Wu
PROFILE
Jiande Wu
Worked on the cdcepi/FluSight-forecast-hub repository to enhance influenza forecasting pipelines over a three-month period, focusing on model transparency, data quality, and workflow automation. Developed and documented metadata for a Hybrid CNN-LSTM model to improve reproducibility and governance. Leveraged Python, R, and GitHub Actions to automate weekly forecast updates, data archiving, and validation, reducing manual intervention and supporting timely, accurate forecasts. Implemented onboarding materials and validation workflows to streamline contributor experience and ensure data integrity. The work emphasized robust data modeling, machine learning, and workflow automation, resulting in a more reliable and responsive forecasting system for public health planning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
4
Lines of code
45,236,781
Activity Months3
Your Network
66 peopleShared Repositories
66
Work History
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 — FluSight-forecast-hub (cdcepi/FluSight-forecast-hub) delivered targeted pipeline enhancements for the 2025-2026 season, with a focus on forecast accuracy, responsiveness, and governance. The work combined model updates with automated data archiving and validation via GitHub Actions to improve data quality, traceability, and deployment reliability.
2 Commits • 1 Features
May 1, 2026May 2026 — FluSight-forecast-hub (cdcepi/FluSight-forecast-hub) delivered targeted pipeline enhancements for the 2025-2026 season, with a focus on forecast accuracy, responsiveness, and governance. The work combined model updates with automated data archiving and validation via GitHub Actions to improve data quality, traceability, and deployment reliability.
May 2026
April 2026
5 Commits • 2 Features
Apr 1, 2026April 2026 - FluSight Forecast Hub: Delivered key forecast enhancements and automated data workflows to improve timeliness, accuracy, and reproducibility of weekly influenza forecasts.
April 2026
5 Commits • 2 Features
Apr 1, 2026April 2026 - FluSight Forecast Hub: Delivered key forecast enhancements and automated data workflows to improve timeliness, accuracy, and reproducibility of weekly influenza forecasts.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 focused on enhancing model transparency and documentation for the FluSight-forecast-hub. The team delivered foundational metadata for the Hybrid CNN-LSTM model, enabling clearer understanding of architecture, contributors, and data inputs, and laid groundwork for reproducibility and governance across the forecasting pipeline.
1 Commits • 1 Features
Mar 1, 2026March 2026 focused on enhancing model transparency and documentation for the FluSight-forecast-hub. The team delivered foundational metadata for the Hybrid CNN-LSTM model, enabling clearer understanding of architecture, contributors, and data inputs, and laid groundwork for reproducibility and governance across the forecasting pipeline.
March 2026
Activity
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Quality Metrics
Correctness92.6%
Maintainability87.6%
Architecture87.6%
Performance87.6%
AI Usage27.6%
Skills & Technologies
Programming Languages
PythonRYAML
Technical Skills
Data archivingData validationGitHub ActionsR programmingWorkflow automationdata analysisdata modelingdata validationdeep learningforecastingmachine learning
Repositories Contributed To
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