Maryam Majidi is a research scientist and system developer based in Kassel, Germany, with seven years of experience building and extending scientific software for power systems. She contributes to prominent open-source tooling like pandapower, enhancing optimal power flow functionality and bridging Python workflows with PowerModels.jl via PpPmInterface work. Her background blends hands-on backend development, testing, and scripting to make complex optimization workflows more reliable and interoperable. Known for pragmatic problem-solving, she often focuses on the less visible but critical integration layers that enable researchers and engineers to run reproducible analyses at scale.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Role in this project:
Back-end Developer
Contributions:169 commits, 29 PRs, 7 pushes in 11 months
Contributions summary:Maryam primarily contributed to the `pandapower` repository by modifying and extending the functionality related to power system modeling, particularly in the area of optimal power flow (OPF) and related analysis. They introduced and modified code within the `PpPmInterface` module, which appears to be an interface between the pandapower library and the PowerModels.jl optimization package. Their commits involve changes to existing Julia files, creation of python script for converting files and modifying existing test files for correct operation.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Contributions:2 reviews, 11 commits, 22 PRs in 3 months
pythonsystem-modellinganalysispower-systempower
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