cdcepi/FluSight-forecast-hub
May 2025 – May 2025
1 Month active
Languages Used
CSV
Technical Skills
Data AnalysisData SubmissionEpidemiological ModelingForecastingTime Series Forecasting
Asuka
PROFILE
Asuka
Ruipu Li developed and enhanced data forecasting pipelines for public health repositories, focusing on the FluSight-forecast-hub and CDCgov/covid19-forecast-hub. Li delivered end-to-end flu forecast data submission datasets, integrating UM-DeepOutBreak model outputs and strengthening data ingestion validation to ensure robust, schema-compliant CSV workflows. In the COVID-19 hub, Li overhauled the platform’s submission architecture, introducing modularity and improving data integrity for forecasting submissions. Using Python, JavaScript, and machine learning techniques, Li addressed both feature development and bug fixes, emphasizing reproducibility, onboarding, and compliance. The work demonstrated depth in epidemiological modeling, full stack development, and the delivery of reliable, maintainable forecasting infrastructure.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
21,946
Activity Months2
Your Network
66 people
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for CDCgov/covid19-forecast-hub focusing on business value and technical achievements. Delivered a Major Platform Overhaul enabling enhanced submission workflows, modular architecture, and broader forecasting capabilities across the project. Implemented targeted data integrity fixes to ensure accurate submission representation and compliance with reporting standards. These changes improved platform reliability, data quality, and time-to-submission, enabling forecasting teams to deliver reliable results with fewer post-submission corrections.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for CDCgov/covid19-forecast-hub focusing on business value and technical achievements. Delivered a Major Platform Overhaul enabling enhanced submission workflows, modular architecture, and broader forecasting capabilities across the project. Implemented targeted data integrity fixes to ensure accurate submission representation and compliance with reporting standards. These changes improved platform reliability, data quality, and time-to-submission, enabling forecasting teams to deliver reliable results with fewer post-submission corrections.
December 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance focused on delivering end-to-end flu forecast data submission datasets for FluSight-forecast-hub, enabling timely forecast submission and evaluation across locations and horizons. Strengthened data ingestion, submission workflows, and reproducibility with May-2025 datasets and UM-DeepOutBreak submissions integrated into the pipeline. Documented data schema to support onboarding and future releases.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance focused on delivering end-to-end flu forecast data submission datasets for FluSight-forecast-hub, enabling timely forecast submission and evaluation across locations and horizons. Strengthened data ingestion, submission workflows, and reproducibility with May-2025 datasets and UM-DeepOutBreak submissions integrated into the pipeline. Documented data schema to support onboarding and future releases.
Activity
Loading activity data...
Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
CSVJavaScriptPython
Technical Skills
Data AnalysisData SubmissionEpidemiological ModelingForecastingPythonTime Series Forecastingdata analysisforecastingfull stack developmentmachine learning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
CDCgov/covid19-forecast-hub
Dec 2025 – Dec 2025
1 Month active
Languages Used
JavaScriptPython
Technical Skills
Pythondata analysisforecastingfull stack developmentmachine learning