
Worked on the SciCompMod/memilio repository to enhance the stability and correctness of age-structured SEIR ODE modeling in C++. Focused on resolving a critical indexing error in the model’s handling of susceptible compartments across multiple age groups, which previously led to inaccurate scenario analyses. Addressed this by updating model.h and introducing a targeted regression test, get_flows_two_agegroups, in test_odeseir.cpp to ensure correct flow calculations and prevent future regressions. Emphasized software testing and maintainable code, with all changes isolated to avoid performance regressions. The work improved model reliability and accuracy without introducing new user-facing features during the development period.
January 2025 monthly summary for SciCompMod/memilio. Focused on stability and correctness of age-structured SEIR modeling. Key bug fixed: resolved an indexing error in the ODE SEIR model (model.h) that incorrectly accessed susceptible compartments for multi-age groups. Implemented a regression test get_flows_two_agegroups in test_odeseir.cpp to guard against regressions and ensure correct flow calculations across age groups. No new user-facing features were delivered this month; the emphasis was on reliability, test coverage, and maintainable code. The changes improve accuracy of scenario analyses involving multiple age cohorts, reduce downstream calculation errors, and preserve performance characteristics.
January 2025 monthly summary for SciCompMod/memilio. Focused on stability and correctness of age-structured SEIR modeling. Key bug fixed: resolved an indexing error in the ODE SEIR model (model.h) that incorrectly accessed susceptible compartments for multi-age groups. Implemented a regression test get_flows_two_agegroups in test_odeseir.cpp to guard against regressions and ensure correct flow calculations across age groups. No new user-facing features were delivered this month; the emphasis was on reliability, test coverage, and maintainable code. The changes improve accuracy of scenario analyses involving multiple age cohorts, reduce downstream calculation errors, and preserve performance characteristics.

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