cdcepi/FluSight-forecast-hub
Nov 2025 – May 2026
7 Months active
Languages Used
PythonYAMLJavaScript
Technical Skills
Pythondata analysisdata modelingforecastingmachine learningreinforcement learning
aleurbi
PROFILE
Aleurbi
Over seven months, contributed to the cdcepi/FluSight-forecast-hub by designing and integrating reinforcement learning-based forecasting models to improve flu hospitalization predictions. Focused on Python and data science, the work involved developing RL algorithms, enhancing data preprocessing, and streamlining model training pipelines to support robust, adaptive forecasts. Integrated these models into both backend and mobile workflows, enabling on-device inference and improved uncertainty quantification. Maintained a disciplined, traceable commit process while collaborating through Git. The engineering efforts strengthened the forecasting pipeline’s accuracy and reliability, supporting public health decision-making and enabling continuous experimentation with historical data and evolving model baselines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
29Total
Bugs
0
Commits
29
Features
9
Lines of code
157,286
Activity Months7
Your Network
66 peopleWork History
May 2026
4 Commits • 1 Features
May 1, 2026May 2026 monthly summary for the FluSight forecasting program, focusing on RL-based forecasting enhancements to FluSight-forecast-hub. Key deliverables include the RL improvements integrated into the forecasting pipeline using historical data to improve predictive accuracy. No major bugs documented this month. Work was conducted in the cdcepi/FluSight-forecast-hub repository.
4 Commits • 1 Features
May 1, 2026May 2026 monthly summary for the FluSight forecasting program, focusing on RL-based forecasting enhancements to FluSight-forecast-hub. Key deliverables include the RL improvements integrated into the forecasting pipeline using historical data to improve predictive accuracy. No major bugs documented this month. Work was conducted in the cdcepi/FluSight-forecast-hub repository.
May 2026
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Focused on delivering a reinforcement learning (RL) integration to enhance forecast accuracy and reliability, and overhauling data processing to support RL-based training. This work lays the groundwork for continuous learning forecasts and more robust uncertainty quantification.
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Focused on delivering a reinforcement learning (RL) integration to enhance forecast accuracy and reliability, and overhauling data processing to support RL-based training. This work lays the groundwork for continuous learning forecasts and more robust uncertainty quantification.
March 2026
4 Commits • 1 Features
Mar 1, 2026March 2026 — cdcepi/FluSight-forecast-hub: Reinforcement learning-based forecasting enhancements. Delivered RL-driven improvements to forecasting accuracy by integrating RL models with historical FluSight data. No major bugs reported this month; maintenance focused on stabilizing the RL integration and ensuring smooth submission workflow. Overall impact: strengthened forecast capabilities to support proactive public-health decisions. Technologies/skills demonstrated: reinforcement learning, ML model integration, data processing, Python-based forecasting pipeline, Git-based collaboration.
4 Commits • 1 Features
Mar 1, 2026March 2026 — cdcepi/FluSight-forecast-hub: Reinforcement learning-based forecasting enhancements. Delivered RL-driven improvements to forecasting accuracy by integrating RL models with historical FluSight data. No major bugs reported this month; maintenance focused on stabilizing the RL integration and ensuring smooth submission workflow. Overall impact: strengthened forecast capabilities to support proactive public-health decisions. Technologies/skills demonstrated: reinforcement learning, ML model integration, data processing, Python-based forecasting pipeline, Git-based collaboration.
March 2026
February 2026
4 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) — Delivered a reinforcement learning (RL) capability for the FluSight forecasting hub (cdcepi/FluSight-forecast-hub). The feature introduces an RL-driven forecasting pathway to improve predictive accuracy and uncertainty quantification, enabling more robust scenario analyses and stronger decision support for influenza surveillance. Implementation spans multiple commits centered on the RL initiative (see commit SHAs below). No major bugs were logged this month. This work establishes an experimental RL framework that enables ongoing model comparison against baselines and supports future productionization.
February 2026
4 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) — Delivered a reinforcement learning (RL) capability for the FluSight forecasting hub (cdcepi/FluSight-forecast-hub). The feature introduces an RL-driven forecasting pathway to improve predictive accuracy and uncertainty quantification, enabling more robust scenario analyses and stronger decision support for influenza surveillance. Implementation spans multiple commits centered on the RL initiative (see commit SHAs below). No major bugs were logged this month. This work establishes an experimental RL framework that enables ongoing model comparison against baselines and supports future productionization.
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary: Delivered reinforcement learning-based forecasting enhancements for the FluSight Forecasting Hub, strengthening forecast accuracy and data handling while advancing model training pipelines to support RL experimentation. Focused on business value by improving forecasting reliability for public health decision-makers and enabling faster iteration cycles.
5 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary: Delivered reinforcement learning-based forecasting enhancements for the FluSight Forecasting Hub, strengthening forecast accuracy and data handling while advancing model training pipelines to support RL experimentation. Focused on business value by improving forecasting reliability for public health decision-makers and enabling faster iteration cycles.
January 2026
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 focused on delivering reinforcement learning (RL) capabilities across the FluSight forecasting platform, with end-to-end RL enablement spanning Gleam submission, hub-level integration, and mobile applications. No major bugs fixed were recorded within the provided scope, allowing the team to prioritize feature delivery and architectural enhancements. The RL-enabled workflow positions FluSight for improved predictive accuracy, adaptability to evolving data, and broader deployment scenarios, including on-device inference for mobile clients.
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 focused on delivering reinforcement learning (RL) capabilities across the FluSight forecasting platform, with end-to-end RL enablement spanning Gleam submission, hub-level integration, and mobile applications. No major bugs fixed were recorded within the provided scope, allowing the team to prioritize feature delivery and architectural enhancements. The RL-enabled workflow positions FluSight for improved predictive accuracy, adaptability to evolving data, and broader deployment scenarios, including on-device inference for mobile clients.
November 2025
2 Commits • 1 Features
Nov 1, 2025In November 2025, delivered the GLEAM Flu Reinforcement Learning Forecasting Model within FluSight-forecast-hub and completed enhancements to improve accuracy and efficiency of flu hospitalization forecasts. This work strengthens near-term hospital resource planning and public health decision-making by providing more reliable RL-based forecasts. Commit references: dbcb3f18a799d0b922015ee1041ec10b7f24bbfb; d2b2dba99b48bfa919e351b83720a559f6c23d7d.
2 Commits • 1 Features
Nov 1, 2025In November 2025, delivered the GLEAM Flu Reinforcement Learning Forecasting Model within FluSight-forecast-hub and completed enhancements to improve accuracy and efficiency of flu hospitalization forecasts. This work strengthens near-term hospital resource planning and public health decision-making by providing more reliable RL-based forecasts. Commit references: dbcb3f18a799d0b922015ee1041ec10b7f24bbfb; d2b2dba99b48bfa919e351b83720a559f6c23d7d.
November 2025
Activity
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Quality Metrics
Correctness79.4%
Maintainability64.2%
Architecture79.4%
Performance68.2%
AI Usage57.2%
Skills & Technologies
Programming Languages
JavaScriptPythonYAML
Technical Skills
PythonPython programmingalgorithm developmentdata analysisdata modelingdata scienceforecastingfull stack developmentmachine learningreinforcement learning
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