Hi, I’m Julius 👋
I’m a PhD candidate working on how we can design and operate the energy systems of a climate-neutral future more efficiently. My research sits at the intersection of system simulation and scientific machine learning: I combine physics-based models with machine learning, for example as fast surrogate models, to make optimization of technical assets practical at scale. Part of this work happens in the European research project OpenSCALING.
I came to this field through energy engineering. I studied Energy Systems at the Hamburg University of Technology (TUHH) and spent an exchange year at UC Berkeley. Along the way, I built machine-learning surrogates for complex system models at XRG Simulation in the research project PHyMoS, developed a charging-depot controller for automated vehicle fleets at Berkeley Lab in the project GEMINI-XFC, worked on thermal energy storage at Siemens Gamesa, and taught first-year students as a tutor. The full story is in my CV.
What this blog is about
Mostly the energy transition: how the energy system of the future could work, and what each of us can do about it. Besides that, I’ll write about my research and about something I’ve been tinkering with a lot lately, AI agents. Some posts are in English, some in German.
Latest posts
Publications
I publish on different techniques that I hope will improve and enable more widespread use of simulation and optimization in energy systems. You can find the list on the publications page.
Get in touch
I’m always happy to talk about energy systems, simulation and machine learning, whether you’re a researcher, someone from industry or just curious. Send me an email or connect with me on LinkedIn.
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