
In June 2025, Pouya Kasaie enhanced the SHIELD calibration workflow in the tfojo1/jheem_analyses repository, focusing on demographic and syphilis diagnosis modules. Using R and leveraging skills in calibration, simulation, and statistical modeling, Pouya consolidated and extended the pipeline to improve reproducibility and traceability. The work included refining MCMC diagnostics, updating calibration registration, and improving visualization for clearer convergence assessment. By tuning calibration parameters and adjusting PK configurations, Pouya achieved stable, reproducible calibration runs that support more accurate clinical decision-making. The depth of these changes established a robust foundation for ongoing data analysis and model development within the project.

June 2025: Delivered substantial SHIELD calibration enhancements for demographic and syphilis diagnosis, consolidating and extending the calibration workflow, improving visualization, registration, and MCMC diagnostics. Achieved a stable, reproducible calibration pipeline with clear convergence signals, enabling more accurate and timely clinical decision support.
June 2025: Delivered substantial SHIELD calibration enhancements for demographic and syphilis diagnosis, consolidating and extending the calibration workflow, improving visualization, registration, and MCMC diagnostics. Achieved a stable, reproducible calibration pipeline with clear convergence signals, enabling more accurate and timely clinical decision support.
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