Maarten Sap
Maarten Sap is a Carnegie Mellon assistant professor and AI2 AI safety lead whose research examines social intelligence and bias in language. He earned a degree in communications and information systems and a PhD in computer science and engineering, then coauthored ATOMIC, an atlas of commonsense reasoning. He coauthored the open Olmo 3 language models and Artificial Hivemind, which won NeurIPS's 2025 Best Paper (DB track) award. In 2025, he also received a Packard Fellowship.
- Works
- 251
- Citations
- 9,654
- h-index
- 41
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2010–2014
A degree in information systems
At École Polytechnique Fédérale de Lausanne, he earns a BS in Communications and Information Systems in 2014.
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2015–2022
A PhD in natural language processing
At the University of Washington, he completes a PhD in computer science and engineering focused on natural language processing in 2022 after starting his studies in 2015.
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2019
ATOMIC commonsense reasoning
In 2019, he coauthors ATOMIC, an atlas of everyday commonsense reasoning organized through 877,000 textual descriptions of inferential knowledge.
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2021–2022
An AI2 Young Investigator
At AI2, he works as a postdoctoral researcher and Young Investigator from 2021 to 2022, then joins Carnegie Mellon as an assistant professor in 2022.
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2025
A Packard fellowship and paper prize
He becomes a 2025 Packard Fellow at Carnegie Mellon. Artificial Hivemind, which he coauthors, wins NeurIPS's Best Paper (DB track) award in 2025.
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2025
Olmo 3 language models
Team Olmo's 2025 preprint lists him among its authors and introduces fully open language models at 7B and 32B parameter scales.
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Since 2026
AI2 safety lead
Since 2026, he serves as AI2's Visiting Senior Research Scientist and AI Safety Lead while continuing as a Carnegie Mellon assistant professor. His research measures social and interactional intelligence in AI and studies inequality, safety risks, and socio-cultural biases in language.
Sources and credits
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