After completing my Master’s degree in Mechanical Engineering at KIT, I pursued my PhD in Engineering, specialising in automated thermal image analysis and using such data to detect leaks in district heating systems. This involved developing (multi-)spectral datasets and AI models as a use case within the AI4EOSC project. In late 2025, I joined the D3A department at SCC as a Postdoctoral Researcher and member of the Helmholtz AI consultant team.

My current work within the RenewBench project is centered around energy and meteorology. Specifically, I am helping build a global benchmark for renewable energy generation and associated weather data. By unifying fragmented data sources and enriching them with standarised metadata, we are enabling transparent model development and comparisons – and ultimately promoting AI adoption in the energy sector.