Cornell University
Danqi ChenMember of Technical Staff · Thinking Machines LabResearcher↗2 shared research fields
Both at Thinking Machines Lab
Researcher
Myle Ott
Thinking Machines LabMember of Technical Staff
Ott created fairseq, an open-source toolkit that helped researchers train translation and language models at scale, and co-created RoBERTa, which showed that BERT improved dramatically with a better training recipe. After Meta, he joined Thinking Machines Lab.
Career & education
Current roleThinking Machines Lab2024-presentMember of Technical Staff
Thinking Machines Lab2024-presentPreviously
Google DeepMind2024-2024Distinguished Research Scientist
Character.AI2022-2024Founding researcher
Meta2013-2021
Google DeepMind2024-2024Character.AI2022-2024Meta2013-2021Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
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.
citations91,445As of Aug 1, '26
citations+1,708Since last snapshot, Jul 1, '26
Selected contributions
RoBERTa: A Robustly Optimized BERT Pretraining Approach
With Yinhan Liu, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis and others ·Showed that better training choices could improve BERT without changing its core architecture.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
