Jason Corso is a Toyota Professor of AI and co-founder/Chief Science Officer of Voxel51 who builds data-centric AI tooling—most notably FiftyOne, an open-source framework for co-developing datasets and models. He combines academic depth (PhD from Johns Hopkins, over 150 publications) with operator experience scaling a startup from two to 25 employees and leading early sales to multiple Fortune 500 customers. As a tenured professor in robotics and EECS at the University of Michigan, he mentors the next generation of AI researchers while continuing hands-on engineering contributions to FiftyOne (e.g., dataset insight features and CVAT integration). His career blends practical deployment of Physical AI—advising large-scale autonomy efforts—and a strong public-code footprint that emphasizes fair access to AI.
9 years of coding experience
16 years of employment as a software developer
Johns Hopkins University
BS Computer Science, BS Computer Science at Loyola University Maryland
Contributions:36 commits, 6 comments, 3 issues in 3 months
Contributions summary:Jason primarily contributed to the implementation and refinement of insight classes and related functionality within the FiftyOne library. Their work involved adding new features like ScalarInsight, FileHashInsight, and their ODM counterparts. They also made revisions to the user guide, particularly focusing on the Brain section and incorporated code changes related to image loading and CVAT integration.
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Jason Corso - Toyota Professor Of AI at University of Michigan