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ausmeyer

PROFILE

Ausmeyer

Over eight months, contributed to the cdcepi/FluSight-forecast-hub by developing and enhancing ensemble and joint influenza forecasting features, expanding weekly forecast coverage and improving data transparency for public health decision-making. Leveraged Python and JavaScript to implement robust forecasting logic, ensemble methods, and metadata management, ensuring reproducibility and clear traceability across releases. Integrated new data sources, automated deployment workflows, and addressed data integrity issues to support reliable, timely forecasts. Focused on backend development and data engineering, the work enabled more accurate predictions and streamlined submission processes, directly supporting epidemiological surveillance and planning through consistent, well-documented updates to the FluSight platform.

Overall Statistics

Feature vs Bugs

79%Features

Repository Contributions

65Total
Bugs
4
Commits
65
Features
15
Lines of code
357,782
Activity Months8

Work History

May 2026

8 Commits • 2 Features

May 1, 2026

May 2026 (2026-05) update for the FluSight-forecast-hub (cdcepi/FluSight-forecast-hub): Delivered expanded forecast coverage for MIGHTE-Nensemble and MIGHTE-Joint models. Implemented four weekly forecasts for May 2026 for each model, increasing forecast availability and consistency across ensemble and joint-forecast views. No major bugs reported; focus on feature delivery and data availability to support public health forecasting workflows.

April 2026

12 Commits • 2 Features

Apr 1, 2026

April 2026: Delivered two major forecast deployment initiatives for FluSight-forecast-hub, expanding ensemble forecast coverage and joint-model reliability, with automated updates for upcoming dates and a targeted fix to ensure forecast file integrity. These changes increased forecast availability, reduced manual intervention, and strengthened decision support for influenza surveillance.

March 2026

8 Commits • 2 Features

Mar 1, 2026

2026-03 Monthly summary for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). This month focused on feature delivery and forecasting enhancements to improve the accuracy and reliability of FluSight predictions.

February 2026

11 Commits • 2 Features

Feb 1, 2026

February 2026: Delivered robust enhancements to FluSight-forecast-hub with two major forecasting features (MIGHTE-N Ensemble and MIGHTE-Joint), underpinned by data validation and submission reliability improvements. These updates enabled more accurate, timely forecasts (including 2026-02-07 and ongoing Feb updates) and a more reliable submission workflow, supporting proactive public health decision-making.

January 2026

13 Commits • 2 Features

Jan 1, 2026

January 2026 (2026-01) delivered expanded forecast capabilities and stabilized joint-forecast components within FluSight-forecast-hub. Key features include MIGHTE-Nensemble and MIGHTE-Joint forecasting enhancements with multiple January forecasts, updated metadata, and integration with the FluSight system, alongside targeted stability fixes.

December 2025

7 Commits • 2 Features

Dec 1, 2025

December 2025 monthly summary for cdcepi/FluSight-forecast-hub. This period focused on delivering two major feature sets: MIGHTE-N Ensemble additions for December 2025 and MIGHTE-Joint enhancements with new forecasting models, weighting improvements, and additional forecasts. Key dates covered: MIGHTE-N Ensemble forecasts for 2025-12-06, 2025-12-13, 2025-12-27; MIGHTE-Joint forecasts for 2025-12-20 and 2025-12-27. Metadata updates and location-based weighting enhancements accompany the forecasting improvements. No major bugs reported or fixed this month. Impact: broadened forecast coverage, improved ensemble reliability, and richer metadata; Tech stack evidenced: forecasting ensembles, weighting logic, metadata management, and git-based collaboration.

November 2025

4 Commits • 2 Features

Nov 1, 2025

November 2025 monthly summary for cdcepi/FluSight-forecast-hub focusing on feature delivery, deployment, and impact. Key enhancements to MIGHTE-N Ensemble metadata improve transparency, versioning, and input details, while forecast coverage was expanded by deploying two target dates. All changes maintain clear commit traceability and repository standards. No major bug fixes were recorded this month; the primary value came from feature delivery, deployment automation, and metadata improvements that support reproducibility and faster decision-making.

December 2024

2 Commits • 1 Features

Dec 1, 2024

December 2024 focused on delivering critical influenza forecasting data assets for the FluSight-forecast-hub, consolidating ensemble forecast data and hospitalization rate changes into accessible CSV datasets. The work supported decision-making and public health planning by providing MIGHTE ensemble forecasts and weekly incidence data across multiple locations and horizons. No major bugs were reported this month. The release strengthens forecasting capabilities and data transparency while aligning with the project’s data release standards. Key efforts included two release commits on 12/28 that introduced MIGHTE-Nsemble and MIGHT-Joint datasets.

Activity

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Quality Metrics

Correctness92.0%
Maintainability87.2%
Architecture87.4%
Performance85.0%
AI Usage29.6%

Skills & Technologies

Programming Languages

CSVJavaScriptPythonRYAML

Technical Skills

API developmentAPI integrationData AnalysisData EngineeringForecastingJavaScriptPythonTime Series AnalysisTime Series Forecastingbackend developmentcollaboration toolsdata analysisdata modelingdata scienceensemble methods

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

cdcepi/FluSight-forecast-hub

Dec 2024 May 2026
8 Months active

Languages Used

CSVPythonYAMLJavaScriptR

Technical Skills

Data AnalysisData EngineeringForecastingTime Series AnalysisTime Series ForecastingPython