I am a postdoctoral researcher at the Department of Digital Transformation in Energy Systems at the Technische Universität Berlin (TUB), focussing on resilient energy infrastructure planning for systems with high shares of variable renewable electricity. My research supports strategic decision-making to accelerate the transition to a climate-neutral energy system by mid-century, devising strategies for European hydrogen infrastructure, green energy imports, and carbon management while exploring alternative future energy system and market designs.

Before moving to Berlin, I received my PhD in computer science at the Institute for Automation and Applied Informatics at the Karlsruhe Institute of Technology (KIT), focussing on computational and near-optimal trade-offs in renewable power system modelling.

I studied sustainable energy systems at the University of Edinburgh (MSc) and industrial engineering and economics at the Karlsruhe Institute of Technology (BSc). I also briefly worked at Fraunhofer ISI.

I am an ally of the openmod initiative, which promotes openness and transparency in energy system research. I also develop and co-maintain open-source software:

• PyPSA is a energy system modelling framework written in Python,
• PyPSA-Eur is a workflow to build a model of the European sector-coupled energy system,
• atlite is a Python package to convert weather data to energy systems data.

I appreciate clear data visualization that makes complex information easier to understand.

Explore further details in my CV or on my LinkedIn profile.