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Casey Chu

Researcher, OpenAI

Casey Chu is a researcher at OpenAI working on multimodal AI systems. His site credits him with leading the initial prototype for visual inputs to GPT-4 and lists him as a co-author of DALL·E 2 with Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, and Mark Chen. He previously studied computational math at Stanford and mathematics at Harvey Mudd College.12

At a glance

Current role
Researcher
Company
OpenAI
Sources cited
2
Profile reviewed

Accomplishments

  • DALL·E 2 co-author.1
  • Led initial GPT-4 visual-input prototype.1

DALL·E 2 and GPT-4 vision

Chu's homepage documents co-authorship of DALL·E 2 (2022) and leadership of the initial visual-input prototype for GPT-4 (2023), placing him at the center of OpenAI's early multimodal stack spanning image generation and image understanding.1

Earlier research

Before OpenAI he published on GANs, Stein variational methods, and probability functional descent (ICML 2019), linking generative modeling and variational inference.1

Timeline

  1. DALL·E 2 released; Chu listed as co-author.1
  2. Led early GPT-4 vision prototype work.1

Where they work

Open roles at OpenAI (808)

See all 808 open jobs at OpenAI →

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References

2 sources · profile reviewed Oct 24, 2026 · data updated Oct 24, 2026

  1. Casey Chu homepageCasey Chu · Official page · accessed Oct 24, 2026
  2. Hierarchical Text-Conditional Image Generation with CLIP Latents (DALL·E 2)arXiv · Paper · accessed Oct 24, 2026