Scientist at TNO — I build production-grade optimization models for large-scale energy systems. Currently interested in bringing ML into the optimization loop.
PhD from TU Delft (2022) on optimization for energy systems.
Core developer of Tulipa, an open-source energy system optimization framework in Julia — built from scratch, with full CI, docs, and external adoption.
- TulipaEnergyModel.jl ★79 — the core model: flexible, computationally efficient, academically robust. Top-3 contributor by commits, 2nd by model contributions.
- ElectricityNetworkReduction.jl — power network reduction via PTDF-preserving Kron reduction and optimization-based capacity estimation. Creator & maintainer.
- NearOptimalAlternatives.jl — modelling-to-generate-alternatives (MGA) for exploring near-optimal solution spaces. Creator & maintainer.
- Contributor to SpineOpt.jl ★80 — multi-energy system modelling framework
- grim-opt — greenfield renewable investment model (Python)
Julia Python · LP / MILP · multi-objective optimization ·
modeling-to-generate-alternatives · energy markets & grids