About Me

I am a computer scientist and postdoctoral researcher at the Robert Koch Institute, where I am part of the Visualization Group at the Center for Artificial Intelligence in Public Health Research.

My research focuses on developing methods and tools for evaluating AI systems and interpreting their results. I am particularly interested in how evidence, modelling assumptions, and methodological choices influence what a model learns and the scientific conclusions drawn from it.

I approach these questions through experimental evaluation, explainability, and visual analytics. My work also examines how uncertainty and model limitations can be communicated to support informed human oversight.

My background spans computational biology, scientific software development, and data visualization. These areas continue to shape my research, particularly in biomedical and public-health settings.