Tim Rädsch
- Stealth
- Researcher, Technical University of Munich (TUM)
- PhD, Heidelberg University & DKFZ
- M.Sc., Karlsruhe Institute of Technology (KIT)
- B.Sc. (double degree), TU Ilmenau & Tongji University
- Core author, ASAM OpenLabel - the predominant labeling standard for German automotive OEMs
- Ex-Team Lead Data Engineering (25-person team), understandAI - 7+ years data-centric AI
- ~1,700 citations, h-index 12 - Google Scholar
Selected Awards & Honors
- 2023: International Anton Fink Science Prize for AI (EUR 10,000)
- 2023: Falling Walls Science Breakthrough of the Year Finalist
- 2024: 1st place - CVPR 2024 Annotation Competition (EUR 750)
- 2024: 2nd place - Critical View of Safety Challenge (USD 3,500)
- 2023: Hanns Seidel Foundation Merit Scholarship - awarded to <1% of students by the German Begabtenförderungswerke
- 2023: Best Flash Talk Award - Ells & AI Heatlt: AI inScide Out Conference
Selected Publications full list
- 2026: Physics-IQ Verified - arXiv (collaboration with DeepMind)
- 2025: In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review - FAccT
- 2024: Quality Assured: Rethinking Annotation Strategies in Imaging AI - ECCV
- 2024: Metrics Reloaded: recommendations for image analysis validation - Nature Methods
- 2024: Understanding metric-related pitfalls in image analysis validation - Nature Methods
- 2023: Labelling instructions matter in biomedical image analysis - Nature Machine Intelligence
- 2023: Why is the winner the best? - CVPR
- 2022: Labelling instructions matter in biomedical image analysis - NeurIPS Workshop on Human-Centered AI (oral)
Selected Invited Talks (15+ total)
- 2026: Cambridge University AI in Medicine Summer School - "Academic Medical Imaging AI in the Age of Big Tech Giants"
- 2024: CVPR Panel Discussion - Data Curation & Augmentation in Medical Imaging
- 2024: "Quality Assured: Rethinking Annotation Strategies" - Medical Imaging Datasets Workshop, Copenhagen
- 2023: "How to avoid ML pitfalls in healthcare" - Lindau Nobel Laureate Delegation, Heidelberg
- 2023: "Labelling instructions matter" - Strategic Advisory Board Helmholtz Health Meeting, Berlin