Research Engineer In BioImage Analysis at Institut Pasteur
Paris, Ile-de-France
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Summary
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Minh Phan is a Research Engineer in BioImage Analysis at Institut Pasteur with nine years of experience applying machine learning, deep learning and quantitative methods to microscopy and tomographic imaging. He builds end-to-end bioimage pipelines for diverse modalities (confocal, spinning disk, brightfield) and develops open-source tools for time-series analysis, visualization and connectomics. His background spans a PhD in Imaging Science and postdoctoral work on statistical learning for large-scale fluorescence images, with highlights in optimal transport, scale space analysis and U-Net/CycleGAN applications. Comfortable bridging theory and practice, he has contributed reproducible code and tools (public repos on GitLab/GitHub and projects like GeNePy3D and an OMERO-Catmaid bridge) that support both analysis and simulation workflows. Based in Paris, he combines rigorous algorithmic research with hands-on microscopy data engineering, often tackling spatial statistics and simulation problems that are easy to overlook in applied pipelines.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Imaging science, Doctor of Philosophy (PhD), Imaging science at University of Strasbourg
Engineer's degree, Informatics, Engineer's degree, Informatics at Danang University of Technology
Master's degree, Signal Image Synthesis, Master's degree, Signal Image Synthesis at Université Paris-Est Marne-la-Vallée
Contributions:9 commits, 8 pushes, 1 branch in 1 month
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Minh Phan - Research Engineer In BioImage Analysis at Institut Pasteur