I am responsible for geodata in the Digitalization and Artificial Intelligence department at the Julius Kühn Institute.
Before that, I was working as a software developer, building applications and pipelines for orchestrating and analyzing large EO datasets with a focus on complex environmental and geospatial data, including climate, biodiversity, and land use.
How did I get into data management?
In my work, I repeatedly encountered unstructured, poorly documented, or hard-to-access data. Even the most advanced models and tools cannot reach their full potential without a solid data foundation and that’s what I aim to improve.
What does good data management mean to me? Big geodata, AI/ML, and cloud-based infrastructures are changing the way data is turned into knowledge. Good data management means orchestrating data spaces in a purposeful way – using standards, interfaces, and metadata- as a foundation for well-informed decision-making in science and policy.
Our Data Stewards
