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Mark Chen (OpenAI)

Mark Chen is an artificial intelligence researcher and the chief research officer of OpenAIOpenAIOpenAI is an artificial intelligence research and product organization founded in 2015 that develops the GPT model series, ChatGPT, Codex and a developer API, and conducts research on image, speech, video and intelligent agents. After its 2025 restructuring, the nonprofit OpenAI Foundation continues to control the for-profit OpenAI Group PBC. Its growth has involved large-scale fundraising and compute partnerships, and has also been accompanied by controversies over governance, copyright, privacy and AI safety.Open the full entry.

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Key facts

From Jane Street to OpenAI

Before joining OpenAI, Chen was a quantitative trader at Jane Street Capital, where he built machine-learning models for futures trading; he joined OpenAI in 2018.⁠[1]

The Codex Paper

On July 7, 2021, Chen, as first author with Jerry TworekJerry TworekJerry Tworek is an artificial intelligence researcher who worked at OpenAI for about seven years, served as its vice president of research, and took part in research on Codex and reasoning models such as o1. After leaving OpenAI in early 2026, he founded the AI lab Core Automation.Open the full entry, Heewoo Jun, Qiming Yuan and others, released the paper “Evaluating Large Language Models Trained on Code,” which introduced Codex, a GPT language model fine-tuned on publicly available code from GitHub, and noted that a distinct production version of Codex powers GitHub Copilot. In the paper, Codex solved 28.8% of HumanEval problems, compared with 0% for GPT-3 and 11.4% for GPT-J, rising to 70.2% with 100 samples per problem.⁠[2]

Appearance on the a16z Podcast

The episode discussed how GPT-5 combines fast responses with long-horizon reasoning, how to measure progress once benchmarks saturate, why reinforcement learning keeps surprising skeptics, stability tradeoffs in agentic systems, how coding models change software development, and OpenAI’s longer-term bet on an “automated researcher” that generates new ideas with real economic impact; it also covered prioritizing compute, hiring focused “cave-dweller” talent and protecting fundamental research inside a product company.⁠[3]

Major Research Projects

At OpenAI Chen spearheaded the creation of the image-generation model DALL-E, worked on adding image recognition to GPT-4, and led development of Codex.⁠[1]

Role as Chief Research Officer

As chief research officer, Chen sets OpenAI’s research roadmap and long-term technical vision and shapes and manages its research teams. Describing how he works with chief scientist Jakub Pachocki, he said: “We're both researchers, we pull on technical threads.”⁠[1]

Competitive Programming

Chen has competed in international coding contests and coaches the USA Computing Olympiad team. Speaking of OpenAI’s models in programming competitions, he said: “We've watched them become better than me, better than Jakub.”⁠[1]

Related Organizations, Websites, and Public Accounts

Sources

  1. The two people shaping the future of OpenAI’s research (opens in a new window)
  2. Evaluating Large Language Models Trained on Code (opens in a new window)
  3. From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki (opens in a new window)
  4. From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki (opens in a new window)