Postdoctoral Researcher at Technische Universität Berlin
Berlin, Germany
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
Fabian Neumann is an energy systems modeller and postdoctoral researcher at TU Berlin with nine years of experience combining academic research and open-source software development. He completed a PhD at KIT working on computational trade-offs in renewable electricity system modelling and co-maintains PyPSA, contributing backend refactors and features to the widely used PyPSA-Eur European energy system model. His background spans applied research at Fraunhofer ISI, optimisation work on heat pump scheduling, and an MSc in Sustainable Energy Systems from Edinburgh, giving him strong expertise in optimisation, uncertainty, and sector-coupled energy modelling. Known for improving code maintainability and performance in large modelling codebases, he blends rigorous scientific methods with practical software engineering to accelerate reproducible energy transition research.
8 years of coding experience
2 years of employment as a software developer
Master of Science (MSc), Sustainable Energy Systems, with Distinction, Master of Science (MSc), Sustainable Energy Systems, with Distinction at The University of Edinburgh
Bachelor of Science (BSc), Industrial Engineering and Management, Bachelor of Science (BSc), Industrial Engineering and Management at Karlsruhe Institute of Technology (KIT)
Student Exchange, Student Exchange at Xavier College Gawler, High School, South Australia
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
Role in this project:
Back-end Developer
Contributions:17 releases, 561 reviews, 358 commits in 3 years 3 months
Contributions summary:Fabian made several contributions focused on refactoring and cleaning up code within the `pypsa-eur` repository. Their changes primarily involved modifications to the `base_network.py` and `add_electricity.py` scripts, suggesting work on the core functionality of the energy system model. These updates likely improved code readability, maintainability, and potentially optimized the model's performance by addressing memory usage, adding features, and handling edge cases.
Contributions:21 releases, 301 reviews, 697 commits in 4 years 5 months
Contributions summary:Fabian primarily contributes to the PyPSA (Python for Power System Analysis) project, focusing on functionality related to power system modelling and analysis. Their contributions include bug fixes, such as correcting import instructions for netCDF files and handling unweighted generators, and feature implementations, like adding a switch to paint land and sea areas in plots. They have also been involved in enhancing the graphical capabilities of the project by making map coloring configurable and contributing to the test environment, likely demonstrating proficiency in data science and power system analysis methodologies.
pythonpyomosnl-applicationsrenewablespowerflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Fabian Neumann - Postdoctoral Researcher at Technische Universität Berlin