May 2025 monthly summary for remind model (repository remindmodel/remind). Focused on delivering a pricing-stability feature to prevent negative final energy prices through subsidy removal mechanism. Implemented a new parameter f21_sub_convergence_rollback and updated pricing logic to apply reductions under specific conditions and timeframes. Extended input data to include sector dimension in the parameter signature. Commit reference: 27216a84a69695b8f75aac79155b0d211353263b. Business value: stabilizes energy pricing, reduces risk of price spikes in MEA, improves accuracy of economic modeling and scenario planning across regions. Technologies/skills demonstrated: parameterization, data-model extension, version-controlled feature delivery, cross-regional data handling.

April 2025: Implemented SubConvergenceRollback scenario support in the mrremind subsidy calculations to enable rollback analysis and policy scenario testing. Key changes include a new SubConvergenceRollback subtype implemented in calcTaxConvergence and convertExpertGuess, integration of this scenario into the fullREMIND calculation pipeline, and an update to readExpertGuess to source data from sub_convergence_rollback.csv for building subsidyrollback calculations. These changes position the model to evaluate subsidy rollbacks more accurately and support risk-aware planning for subsidy policies.

March 2025: Delivered IEA Investment Data Import and Mapping for REMIND in pik-piam/mrremind. Implemented R scripts to process and integrate IEA investment data into the historical REMIND model format, including functions to calculate energy variables, convert data, and read investment data from Excel files, and updated a mapping CSV to align IEA investment categories with REMIND variables. This work enhances data fidelity for historical REMIND runs and streamlines the data ingestion pipeline for investment data.

February 2025 — Delivered Biomass SSP3 Scenario feature in remindmodel/remind: introduced bounds for the SSP3 realization and a gradual phase-out of traditional biomass by adjusting the 'biotr' capacity factors from 2025 to 2080 to reflect SSP3 assumptions. Strengthens scenario realism for policy and capacity planning. No major bugs reported; primary accomplishment is feature delivery with clear Git traceability and time-series parameterization, demonstrating skills in scenario modeling and cross-team collaboration.

Month 2024-12: Delivered cross-repo feature work and release updates across pik-piam/mrremind and remindmodel/remind, enabling SSP3 scenario emissions modeling, policy-rollback configuration, and a packaged MRRemind release. Focus was on modeling fidelity, configuration management, and release quality to support robust scenario analysis for SSP3 stakeholders.

November 2024: Focused on SSP3 readiness, tax convergence robustness, and building-sector calibration; delivered bug fixes, data integration, and maintainability improvements to the remind model (remindmodel/remind). Result is more reliable scenario planning capabilities, cleaner codebase, and clearer policy analysis outputs for business stakeholders.