Kyle Harrington 🤖🧪
Kyle Harrington

Machine Learning Scientist

About Me

Kyle Harrington is a Machine Learning Scientist at the Chan Zuckerberg Initiative on the AI Imaging team. His research interests include solving computational problems, addressing biological domains, and learning from images. He has developed and contributed to numerous tools including napari, the Fiji ecosystem (e.g. sciview), album, and more. His scientific work spans:

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Interests
  • Artificial Intelligence
  • Machine Learning
  • Computational Biology
  • Artificial Life
Education
  • Postdoctoral Fellow, Pathology

    Harvard Medical School

  • PhD Computer Science

    Brandeis University

  • MA Computer Science

    Brandeis University

  • BA Artificial Life

    Hampshire College

Featured Publications
Recent Publications
(2024). Annotating CryoET Volumes: A Machine Learning Challenge. bioRxiv.
(2024). Open-source Tools for CryoET Particle Picking Machine Learning Competitions. bioRxiv.
(2024). Surforama: interactive exploration of volumetric data by leveraging 3D surfaces. bioRxiv.
(2024). Polarity-JaM: An image analysis toolbox for cell polarity, junction and morphology quantification. bioRxiv.
(2023). napari-imagej: ImageJ Ecosystem Access from napari. Nature Methods, 20(10), 1443-1444.
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