Mark Chen
Chief Research Officer at OpenAI; first author of the Codex paper that released HumanEval
Mark Chen is Chief Research Officer at OpenAI, as listed on an OpenAI Forum event page from March 2026. Chen is first author of "Evaluating Large Language Models Trained on Code" (2021), the Codex paper that introduced and released the HumanEval benchmark, and a co-author of the DALL·E and DALL·E 2 papers. The GPT-4 Technical Report credits Chen as vision team co-lead and deployment lead, and the OpenAI o1 System Card lists Chen in the reasoning research leadership and in executive leadership. Chen is also listed among the contributors to the gpt-oss-120b and gpt-oss-20b model card.12345678
Work
HumanEvalOpen data
First author and corresponding author of the Codex paper (2021), which introduced HumanEval, an evaluation set for synthesizing programs from docstrings; the openai/human-eval repository cites the paper and is under the MIT license.23
gpt-ossOpen weights
Listed among the contributors to the gpt-oss-120b and gpt-oss-20b model card (2025).8
GPT-4 vision and OpenAI o1 (external site: arxiv.org)Proprietary product
Credited in the GPT-4 Technical Report (2023) as vision team co-lead and deployment lead, and in the OpenAI o1 System Card (2024) under reasoning research leadership and executive leadership.67
DALL·E and DALL·E 2 (external site: arxiv.org)Published research
Co-author of "Zero-Shot Text-to-Image Generation" (2021) and last-listed author of "Hierarchical Text-Conditional Image Generation with CLIP Latents" (2022).45
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