Kyle Harrington is a Senior Staff AI/ML Research Scientist with 15 years of experience applying frontier machine learning to biological imaging, from molecular structures to whole organisms. At Biohub he leads foundation-model work for large-scale imaging, spearheaded CryoLens (3D generative reconstruction), and co-architected the CZII CryoET Kaggle competition that attracted ~1,200 teams. His background blends academic depth (PhD from Brandeis) and hands-on engineering—co-developing tools like copick for agentic cryoET workflows and co-founding album for decentralized scientific software sharing. A former DARPA technical advisor on lifelong and adversarial ML programs and a steering council member for napari, he bridges robust research, open-source ecosystems, and production ML systems. He’s equally at home developing differentiable biological models and scaling multimodal vision architectures, with a recurring focus on making cutting-edge ML deployable in real biological labs.
15 years of coding experience
12 years of employment as a software developer
Bachelor of Arts (B.A.), Artificial Life, Bachelor of Arts (B.A.), Artificial Life at Hampshire College
Ph. D., Computer Science, Ph. D., Computer Science at Brandeis University
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Kyle Harrington - Senior Staff AI ML Reseach Scientist at napari