Leonie Schweiger enhanced the remindmodel/remind repository by introducing greater flexibility into its scenario analysis capabilities. She modified the GAMS-based mathematical model to relax the q37_feedstocksShares constraint from an equality to an inequality, allowing feedstock allocations across industry subsectors to be more adaptable. This technical adjustment broadened the set of feasible solutions, supporting more realistic and robust scenario exploration under uncertainty. Leonie applied her expertise in mathematical modeling and optimization to ensure that the model’s integrity was maintained while expanding its analytical scope. Her work deepened the model’s utility for decision-making without introducing bugs or compromising performance.