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OpenAI appoints Stanford researcher Benjamin Leiva to education team
OpenAI hired Benjamin Leiva for its Education team. He spent two years studying teacher AI use at Stanford and will build systems to improve AI learning tools.
OpenAI has appointed economist and data scientist Benjamin Leiva to its Education team, where he will work on systems to make AI a more effective learning partner for users worldwide. Leiva, who previously studied teacher AI use and built research tools at Stanford University, joined the company in June 2026.
His move from Stanford's AI Hub for Education adds expertise in education data, product development, and evidence evaluation to OpenAI's education operation. The hire comes as the organization develops learning programs and tools around ChatGPT and its wider AI portfolio.
From Stanford research to OpenAI
Leiva spent nearly two years with the SCALE Initiative at Stanford, first as a research data analyst and later as a senior research data analyst. His work included analyzing real-world teacher interactions with AI products supplied through EdTech platforms, examining the types of prompts K-12 educators submit to AI systems.
He also contributed to an evidence report on AI in K-12 education, intended to give educators and policymakers a clearer view of the available research. Another project involved building a large language model-powered repository that retrieved, classified, and synthesized thousands of academic papers on AI in education.
"As part of the Education team, I'll help build the systems that make AI a more effective learning partner for millions of people around the world," Leiva wrote on LinkedIn announcing the appointment.
Education role spans research and product development
Leiva's background combines economics, data science, machine learning, and product development across education, government, healthcare, and energy. Before joining OpenAI, he worked as a contractor for Google DeepMind, developing an AI-powered tool to support the workflows of AI policy researchers.
Earlier work at the Machine Intelligence in Education Lab involved using generative AI and natural language processing to analyze biases, inaccuracies, and sentiment in public and private school textbooks. He also co-founded a technology venture in 2025.
OpenAI has not disclosed which education products, institutions, or learner groups Leiva will work with first, or provided a timeline for forthcoming initiatives.
OpenAI expands its education capability
OpenAI's education work increasingly covers both direct learner use and institution-level AI adoption. Recent activity includes training resources for organizations, workforce AI courses, and programs intended to help users move from basic prompting to repeatable workflows.
Leiva's experience examining teacher behavior and education research gives the team additional capacity to evaluate how AI is used in practice, rather than relying solely on model performance or user adoption figures. His appointment signals a continued emphasis on education-specific deployment, including learner guidance, teacher support, and evidence of educational impact.
"There's still a lot of work ahead in AI and education, and I feel very fortunate to continue working alongside so many people who care deeply about getting this right," he said.
Why this matters for education professionals
Leiva's appointment reflects a growing investment by major AI developers in understanding how teachers and students actually use these tools. For educators and administrators, this means the next generation of AI learning systems may be shaped more directly by classroom evidence and teacher behavior data. Professionals who want to stay ahead of these developments can explore resources such as the AI for Teachers Learning Path, which covers practical applications of AI in K-12 settings. Similarly, AI for Education Courses offer broader training on integrating AI into teaching and learning.