Arne Schmidt is a Senior Data Scientist based in Germany with 11 years of experience and nine years focused on applying AI to computer vision, particularly in medical and automotive domains. He combines a strong mathematical foundation (MSc and BSc in Mathematics) with hands-on engineering from roles at TomTom and Fraunhofer, and research depth from a PhD on probabilistic deep learning for histopathology. At AIgnostics he now builds and validates models to detect and classify cancer in digital pathology, leveraging uncertainty estimation and crowdsourced annotation techniques developed during his doctoral work. He has practical experience shipping ML systems with CI/CD and Kubernetes and a track record in dataset creation, anonymization, and semantic segmentation. Colleagues benefit from his rare mix of rigorous probabilistic modeling and production-grade software engineering.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematics, 1.7 (grades in Germany: 1-best to 6-worst), Bachelor's degree, Mathematics, 1.7 (grades in Germany: 1-best to 6-worst) at Freie Universität Berlin
Master's degree, Mathematics, 1.5 (grades in Germany: 1-best to 6-worst), Master's degree, Mathematics, 1.5 (grades in Germany: 1-best to 6-worst) at Technische Universität Berlin
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