AI research and benchmarking
Technical tasks, rubrics, and benchmark frameworks for frontier models, together with failure-mode analysis, scientific coding, and review at PhD/postdoctoral level.
Physics | AI Research | Technical Project Leadership
Connecting research, AI systems, and technical projects.
I work where experimental physics, scientific coding, and applied AI meet. I am most interested in tasks where technical depth and a useful result have to come together.
Germany | German and English | Remote and on-site by arrangement
Profile
I am an experimental physicist by training and enjoy working where scientific questions, technical systems, and practical decisions meet. My path has moved from detector development, data analysis, and teaching into applied AI research and model evaluation.
In current AI projects I help plan and improve tasks, workflows, rubrics, and benchmark frameworks for frontier models. This includes guardrails for evaluation integrity, ethical and technical safety, confidentiality, and reliable tool use.
What I work on
Three areas connect my work so far. In practice, the boundaries between them are usually quite fluid.
Technical project leadership and systems engineering
Structuring complex work, connecting technical and economic constraints, and turning an open question into a workflow that produces reliable results.
Physics, R&D, and knowledge transfer
Experimental astroparticle physics, detector and sensor systems, data analysis, teaching, and collaboration across research, engineering, and industry.
Profiles and professional evidence
A few direct links. The protected CV provides the full context.
For recruiters and project partners
Full CV and direct contact
The full CV, including professional history, publications, teaching, project context, and PDF versions, is intentionally not indexed publicly. An agreed password opens both the English and German versions.
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