Kyle Harrington ☕️
Kyle Harrington

Team Lead for Machine Learning

About Me

Kyle Harrington is a Team Lead for Machine Learning at the Chan Zuckerberg Institute for Advanced Biological Imaging in Redwood City, CA. His research interests include machine learning, deep learning, and innovative research in biological imaging. He applies both qualitative and quantitative methods to explore the role of science and technology in living systems.

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

    Harvard Medical School

  • PhD Computer Science

    Brandeis University

  • MA Computer Science

    Brandeis University

  • BA Artificial Life

    Hampshire College

📚 My Research

I’m Kyle Harrington, a Team Lead for Machine Learning at the Chan Zuckerberg Institute for Advanced Biological Imaging. I work on machine learning, deep learning, and innovative research in biological imaging. I apply qualitative and quantitative methods to explore the role of science and technology in living systems.

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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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