I am a scientist at the Department of Digital Transformation in Energy Systems at the Technische Universität Berlin (TUB) and co-managing director of the non-profit PyPSA Labs. My work focuses on software development for open-source energy system modelling and investigating resilient energy infrastructure pathways 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.