Scholar
Sebastien Bubeck
Google Scholar ID: V2Y1L4sAAAAJ
OpenAI
Citations & Impact
Citations
25,147
H-index
56
i10-index
101
Publications
20
Co-authors
125
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Received several best paper awards, including STOC 2023, NeurIPS 2018 and 2021 Best Paper, ALT 2018 and 2023 Best Student Paper (in joint work with MSR interns), COLT 2016 Best Paper, and COLT 2009 Best Student Paper.
Research Experience
- Worked at Microsoft Research for 10 years, initially joining the Theory Group; served as an assistant professor at Princeton University for 3 years.
Education
- No specific educational background information provided.
Background
- Works on AI at OpenAI. Prior to this, he was VP AI and Distinguished Scientist at Microsoft for 10 years (first joining the Theory Group), and before that, he spent 3 years as an assistant professor at Princeton University. In the first 15 years of his career, he mostly worked on convex optimization, online algorithms, and adversarial robustness in machine learning. Now, he is more focused on understanding how intelligence emerges in large language models and using this understanding to improve LLMs' intelligence, possibly towards building AGI.
Miscellany
- Personal interests and other information not mentioned.
