Researcher
Daya Guo
Current role not listed
Guo was a lead author of the DeepSeek-R1 paper, published in Nature. Its R1-Zero experiment developed reasoning through rewards for successful answers; R1 also learned from worked examples.[1] He also helped create DeepSeek-Coder, a family of openly available AI models for programming.
Career & education
Previously
DeepSeek2023-April 2026AI Researcher
DeepSeek2023-April 2026Microsoft Research Asia2017-2023
Research InternEducation
Sun Yat-sen UniversityWork 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.
citations52,496As of Aug 25, '26
citations+7,443Since last snapshot, Jun 15, '26
References
- DeepSeek-R1 — original author paperarxiv.org
Distinguishes R1-Zero’s reward-driven training from R1’s additional supervised training.
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