Danqi Chen
Princeton associate professor co-leading the Princeton NLP Group; co-author of RoBERTa and SimCSE
- Associate Professor of Computer Science; co-lead, Princeton NLP Group; associate director, Princeton Language and Intelligence, Princeton University1
Danqi Chen is an associate professor of computer science at Princeton University, where Chen co-leads the Princeton NLP Group and is an associate director of Princeton Language and Intelligence (PLI). Chen's homepage says Chen spent academic year 2025–26 as a member of technical staff at Thinking Machines Lab and earlier spent time as a research scientist at Facebook AI Research (FAIR) and Google DeepMind. Chen is a co-author of RoBERTa: A Robustly Optimized BERT Pretraining Approach and of SimCSE: Simple Contrastive Learning of Sentence Embeddings, whose code is released under the MIT license in the princeton-nlp/SimCSE repository.1234
Work
SimCSE (external site: github.com)Open-source code
Co-author with Tianyu Gao and Xingcheng Yao of the EMNLP 2021 SimCSE paper on contrastive learning of sentence embeddings; the princeton-nlp/SimCSE repository, released under the MIT license, hosts the code and lists Chen in its citation.34
RoBERTa: A Robustly Optimized BERT Pretraining Approach (external site: arxiv.org)Published research
Listed among the authors of the 2019 RoBERTa paper, a replication study of BERT pretraining.2
Earlier roles
- Member of technical staff (academic year 2025–26), Thinking Machines Lab1
- Research scientist, Facebook AI Research (FAIR), Meta (Facebook AI Research)1
- Research scientist, Google DeepMind1
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