Hideo Otsuna is a Data Scientist II with over a decade of experience bridging computer science and biology to turn complex bio-images into quantitative, reproducible results. Based at HHMI Janelia, he leads EM-LM image processing and the VVDviewer visualization/segmentation projects, and previously co-developed FluoRender for 3D/4D rendering. His expertise spans 2D–4D image analysis, custom ImageJ plugins, novel local thresholding, automated registration/segmentation, and microscope hardware optimization, enabling high-throughput, large-data visualization and tracking. A PhD in neuroscience from Nagoya University, he pairs hands-on microscopy and wet-lab know-how with software design and GUI development, often inventing tailored algorithms for broken-slice restoration and brightness equalization. Colleagues rely on him for turning messy experimental imagery into robust, visualizable datasets that drive quantitative biological insight.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at Nagoya University
Contributions:6 releases, 120 pushes, 1 branch in 4 years 1 month
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