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mschnure

PROFILE

Mschnure

Over ten months, Michael Schnur developed and maintained advanced epidemiological modeling features in the tfojo1/jheem_analyses repository, focusing on HIV and AIDS data analysis at both state and national levels. He engineered robust calibration workflows, scenario analysis tools, and intervention modeling using R and CSV data integration, emphasizing reproducibility and maintainability. His work included enhancements to statistical modeling, data visualization, and simulation pipelines, as well as expanded documentation and code clarity for onboarding and research support. By extending geographic coverage, refining error modeling, and improving visualization theming, Michael delivered deep, well-structured solutions that improved analytic accuracy and research reproducibility.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

40Total
Bugs
0
Commits
40
Features
20
Lines of code
4,769
Activity Months10

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025 monthly summary focusing on the developer's work in tfojo1/jheem_analyses. Emphasizes feature delivery for Part B Ryan White cessation intervention modeling, major accomplishments, and value delivered to the business and research goals.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025: Delivered an observability enhancement in tfojo1/jheem_analyses by adding an informational print in rw_state_results.R to signal usage of urbanicity data from an external R script. This improves data provenance, debugging, and reproducibility for downstream analyses. The change is tracked in commit 61fb70b9c1f55e1bd93df652a162e05a3853ce1d and lays groundwork for future data-automation improvements.

July 2025

4 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for tfojo1/jheem_analyses: Focused on visualization theming for shaded table outputs. Delivered expanded color palettes, updates to thresholds color palette, default palette options, and new color schemes for age analysis and generated tables. No major bugs reported this month. This work enhances data clarity, consistency across reports, and user customization, enabling better business decisions based on more readable visuals.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025 performance summary for tfojo1/jheem_analyses: Delivered a configurable, state-level HIV prevalence analysis script (R) that computes total prevalence for a set of target states in 2021 and compares it to the national prevalence for the same year. The script loads a config file and defines the target states list to enable reproducible analyses and easy extension to additional states or years. Commit recorded: 4c592343684ca6e9c10f654a09e1679a605347b4 (state-level prevalence total).

April 2025

2 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary for tfojo1/jheem_analyses: Delivered extended state-level AIDS data through 2000 and calibration enhancements to support accurate state-level analyses. Updated likelihood instructions and full calibration models; calibration code enhancements added to support extended data and new scenarios. Commits underpinning the work: 0f2c03a2299ee5281dbb5f752b84f4f570099586; f32fcf53d7ea3db0a731049a7d0dd862468b6c5a.

March 2025

2 Commits • 1 Features

Mar 1, 2025

March 2025 monthly summary for tfojo1/jheem_analyses. Delivered a feature expansion to include all states in location-based likelihood calculations, broadening geographic scope to MSAs and state-level data. This enhances suppression, awareness, heroin, and cocaine likelihood models with more complete data coverage and improved accuracy across jurisdictions.

February 2025

4 Commits • 3 Features

Feb 1, 2025

February 2025 monthly summary for tfojo1/jheem_analyses: Delivered documentation expansion, model robustness, and code readability improvements that enhance onboarding, model reliability, and maintainability. Key outcomes include expanded reference materials, enforcement of minimum error standard deviation across EHE model likelihoods to prevent overly precise estimates, and clarifying input matrix orientation for pairing_input_manager to reduce misconfiguration risk. All changes are tracked via commits in the repo.

January 2025

8 Commits • 3 Features

Jan 1, 2025

January 2025 — Key deliverables for tfojo1/jheem_analyses focused on model stability, research support, and reproducibility. Key features delivered include Enhanced EHE Error Terms and Likelihood Modeling with multiple error variance types and parameter resets; MSM symptomatic disease proportion documentation; and a Simulation Data Preprocessing Script for burning and persisting multiple sim sets for consistent analysis. Major fixes stabilized EHE computations using LHD data, reset weights and default year-to-year correlation, and updated related parameters. Overall impact: more accurate risk estimates, robust scenario analysis, and improved reproducibility for research reporting. Technologies demonstrated: advanced modeling refinements, data processing scripts, documentation practices, and version control discipline.

December 2024

2 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for tfojo1/jheem_analyses: Delivered calibration tooling enhancements and a new review workflow to improve model weighting, scenario analysis, and reproducibility. Implemented TOTAL.WEIGHT = 0.5 across all likelihoods and migrated calibration code from full.with.aids to full.with.aids2, enabling more balanced calibration outcomes. Introduced a calibration review script suite that sets up the JHEEM engine, runs simulations with adjusted parameters, and generates plots (diagnosed prevalence, new diagnoses, AIDS diagnoses) across key dimensions and time horizons. Completed repository maintenance by archiving legacy configurations to simplify future experiments. No critical bugs fixed this month; primary focus was on robust calibration tooling, reproducibility, and maintainability.

November 2024

15 Commits • 7 Features

Nov 1, 2024

November 2024 performance summary for tfojo1/jheem_analyses focused on strengthening model fidelity, calibration robustness, and maintainability. Delivered end-to-end calibration enhancements, expanded behavior parameterization for key risk groups, and improved visualization to support decision-making. All work was tracked in a single repo with explicit commits to facilitate traceability and future audits.

Activity

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Quality Metrics

Correctness85.2%
Maintainability85.6%
Architecture81.0%
Performance74.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSVR

Technical Skills

Code DocumentationData AnalysisData MappingData ProcessingData VisualizationDocumentationEpidemiological ModelingEpidemiologyModel CalibrationOntology EngineeringR ProgrammingR ScriptingR programmingScriptingSimulation

Repositories Contributed To

1 repo

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

tfojo1/jheem_analyses

Nov 2024 Oct 2025
10 Months active

Languages Used

RCSV

Technical Skills

Data AnalysisData MappingData VisualizationEpidemiological ModelingEpidemiologyModel Calibration

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