Summary
Florian Kofler is a research group leader and interdisciplinary AI scientist with nine years of experience integrating human expertise into machine learning and embedding models into interactive workflows. He combines deep technical skills in AI, computer vision, and statistics with a strong background in sociology and experimental psychology to design interpretable, collaborative systems—especially for biomedical imaging and brain health. Florian has led academic groups at the University of Tübingen and the Hertie Institute, and his postdoctoral and visiting roles at institutions including Yale and University of Zurich reflect a track record of translational research. As a selective freelance data scientist he has delivered projects for industry leaders like Audi and The Lego Group, bridging applied product work with rigorous research. Notably, his early work in eye-tracking and aviation performance prediction and his PhD on brain lesion analysis inform a rare blend of human-centred measurement expertise and production-ready ML pipelines. He is based in Germany and focuses on making AI systems more interpretable, collaborative, and effective in real-world human-AI teams.
9 years of coding experience