
Worked on the GEB-model/GEB repository to overhaul flood risk modeling and enhance spatial data workflows for decision support. Replaced placeholder data with real flood maps, integrated dynamic risk perception based on historical events, and migrated damage calculations to the honeybees library with map reprojection for improved accuracy. Applied Python, NumPy, and Numba to optimize performance, enabling just-in-time compilation and reducing latency in risk assessments. Improved data engineering pipelines by streamlining household generation, enriching population data with spatial mapping, and clarifying API functions. Addressed simulation stability outside spin-up, reorganized code for maintainability, and strengthened coordinate reference system handling for geospatial analysis.
April 2025 (GEB-model/GEB): Focused on strengthening spatial data workflows, reliability, and maintainability to accelerate decision support and improve data quality for flood risk and population analysis. Delivered four key feature areas, fixed stability issues impacting simulations outside spin-up, and enhanced API clarity and code health.
April 2025 (GEB-model/GEB): Focused on strengthening spatial data workflows, reliability, and maintainability to accelerate decision support and improve data quality for flood risk and population analysis. Delivered four key feature areas, fixed stability issues impacting simulations outside spin-up, and enhanced API clarity and code health.
March 2025 performance summary focusing on GEB Flood Risk Modeling overhaul and related stability improvements.
March 2025 performance summary focusing on GEB Flood Risk Modeling overhaul and related stability improvements.

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