Apple
UC Davis
Connor HolmesResearcher · OpenAIResearcher↗
Researcher
Gabriel Goh
OpenAIResearch Scientist
Goh helps build AI that connects language and images, and reveals how it works internally. He was part of DALL·E 3’s core research team, developing image generation from text, and discovered units in CLIP that respond to the same concept whether shown as a picture or written as a word.
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.
citations132,276As of Nov 1, '26
citations+4,973Since last snapshot, Oct 1, '26
Selected contributions
Learning Transferable Visual Models From Natural Language Supervision
With Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Sandhini Agarwal, Girish Sastry, Amanda Askell and others ·CLIP learns from image-caption pairs to recognize categories described in words.
GPT-4 Technical Report
With OpenAI, Joshua Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman and others ·Reported GPT-4's capabilities, limitations and safety evaluations as a text-and-image input model.
Zero-Shot Text-to-Image Generation
With Aditya Ramesh, Mikhail Pavlov, Scott Gray, Chelsea Sierra Voss, Alec Radford, Mark Chen and Ilya SutskeverIntroduced the original DALL·E, which generates images from written descriptions. It used one Transformer to learn from text and images together and could combine concepts in novel ways without retraining for each task. Published at ICML 2021.
Based on public sources. If accuracy is important, verify details using the links or references.
For corrections, updates, or requests to remove information, contact us.
Reviewed August 8, 2026 · Checked for accuracy and new information.
