Julian Geis
PHD Candidate
Leipzig, Saxony, Germany
Summary
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Rockstar🎓
Top SchoolJulian Geis is a PhD candidate at TU Berlin with six years of experience applying rigorous modeling and data skills to decarbonization challenges. He develops and maintains open-source PyPSA-based energy system models for the Ariadne project, translating research-grade tools into practical planning resources for Germany's energy transition. His background blends industrial engineering, internships in energy trading and corporate development, and machine learning product work, enabling him to connect technical modeling, data engineering, and policy-relevant analysis. Comfortable moving between research and production contexts, he has a track record of automating workflows and deploying ML features in industry. Based in Leipzig, he brings a pragmatic focus on open science and reproducibility, contributing to widely accessible energy system tooling that supports real-world decision making.
6 years of coding experience
1 year of employment as a software developer
Bacheor of Science, Industrial Engineering and Management, Bacheor of Science, Industrial Engineering and Management at Karlsruher Institut für Technologie (KIT)Master of Science - MS, Industrial Engineering and Management, Master of Science - MS, Industrial Engineering and Management at Technische Universität BerlinNorwegian University of Science and Technology
Github Skills (14)
energy-system10
renewable-energy10
energy10
climate-change10
snakemake10
pypsa10
electricity10
optimisation10
energy-data10
python10
electrical-engineering10
power-systems10
modelica7
snl-applications6
Programming languages (2)
Github contributions (5)
JulianGeis/pypsa-ariadne-pricing
May 2024 - Mar 2025
Contributions:2 PRs, 41 pushes, 7 branches in 9 months
JulianGeis/master_thesis
Jan 2023 - Dec 2023
Contributions:2 PRs, 38 pushes in 11 months
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