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Junlin HanMember of Technical Staff · AMI LabsResearcher↗
Researcher · Engineer
David Fan
AMI LabsMember of Technical Staff
Fan builds AI that learns how the visual world works by observing it. He co-developed V-JEPA 2, a model trained on video that researchers adapted to help robot arms plan how to pick up and move objects.[1] He also co-led Web-SSL, which showed that models can learn from web images at scale without captions.[2]
Career & education
Current roleAMI Labs2026-presentMember of Technical Staff
AMI Labs2026-presentEducation
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations2,238As of Nov 12, '26
citations+946Since last snapshot, Jun 16, '26
References
- V-JEPA 2arxiv.org
Fan and his co-authors show how training on web video and adapting the model with robot footage can support physical planning.
- Web-SSLgithub.com
The project credits Fan as an equal contributor and shows how models trained on images alone can perform tasks such as visual question answering.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
