About Me
Hi, I'm Fabian. I'm an AI-focused data scientist with experience across consulting, clinical AI productization, and agentic LLM systems. I hold a Ph.D. in Biomedical AI with a strong track record in training robust and explainable deep learning models for medical imaging, and I'm currently focused on designing and building agentic LLM workflows. I'm passionate about bridging the gap between cutting-edge AI research and practical applications in healthcare and industry. Please reach out if you'd like to collaborate! 😊
Expertise & Interests
- Agentic LLM Systems & Workflows
- Deep Learning & Computer Vision
- Survival Analysis & Time Series Forecasting
- Robustness, Explainability and Uncertainty Estimation
- Biomedical & Clinical AI
- AI Productization
- General Data Science & Engineering
- Embedded Systems
- Space Exploration & Aerospace
- Science, Sports & Travel
Work Experience
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Data Scientist & Consultant 02/2025 – current Eraneos Analytics Germany GmbH, Hamburg
Cross-industry data science consulting. Developing agentic AI solutions (LLM Tender Agent, PowerPoint Copilot, Qdrant MCP server) and building full-stack analytics platforms for large-scale measurement systems. Driving business development in the life sciences.
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Software Developer - Biomedical AI & Computer Vision 09/2022 – 05/2024 SpearPoint Analytics AB, Stockholm
Development of state-of-the-art DL model for prostate cancer risk analysis on histopathological biopsy images. Certified by Swedish healthcare authority IVO and in active commercial use.
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Ph.D. - Computer Science: Biomedical AI & Computer Vision 11/2020 – 11/2024 University Medical Center Hamburg-Eppendorf & University of Hamburg, Hamburg
Research on medical image analysis DL models with focus on robustness, explainability, uncertainty estimation and application in real-world clinical settings. Thesis: "Robust and trustworthy deep learning-based disease detection and risk assessment on MRI and histopathological images that exceeds predictive performance of human experts"
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Working Student - Computed Tomography (CT) 04/2019 – 10/2019, 05/2017 – 10/2018 Faro Europe GmbH & Co. KG, Stuttgart
Industrial CT device measurement & development. Patent: "Automatic CT-scan voltage determination". Thesis: "3D-CT segmentation with deep learning".
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Intern and Working Student - Energy Supply 11/2016 – 04/2017 Research Centre for Energy Economics mbH, Munich
Energy consulting and industrial decarbonisation implementation.
Education
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Ph.D. Computer Science: Biomedical AI & Computer VisionUniversity Medical Center Hamburg-Eppendorf & University of Hamburg
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MSc Electrical Engineering and Information TechnologyUniversity of Stuttgart & National Taiwan University of Science and Technology
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BSc Renewable EnergiesUniversity of Stuttgart
Publications
* indicates equal contribution