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I work on machine learning for biomedical and scientific imaging β instance segmentation,
cell tracking, and the data infrastructure around them β in the
Kainmueller Lab at the MDC Berlin.
Reinforcement learning approach for autonomously acquiring and classifying data in multi-day Scanning Probe Microscopy experiments. _(Python) Communications Physics 2020
Project page for FISBe, a real-world benchmark dataset for instance segmentation of long-range thin filamentous structures β kainmueller-lab.github.io/fisbeCVPR 2024
Cell tracking pipeline: from 3d+time light sheet data to extracted cell lineage tracks, via deep learning and ILP-based graph optimization. _(Python, MIT) Nature Biotechnology 2022, MICCAI 2022