# Sébastien Bubeck

> researcher in machine learning

**Wikidata**: [Q110407022](https://www.wikidata.org/wiki/Q110407022)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Sébastien_Bubeck)  
**Source**: https://4ort.xyz/entity/sebastien-bubeck

## Summary
Sébastien Bubeck is a machine learning researcher and artificial intelligence researcher currently affiliated with Microsoft Research and Princeton University. He earned his doctorate under the supervision of Rémi Munos and Cristina Butucea, establishing himself as a significant contributor to the field of machine learning.

## Biography
- Born: 1985-04-16
- Nationality: Not specified in source material
- Education: Lille University of Science and Technology (doctoral studies under Rémi Munos and Cristina Butucea)
- Known for: Research in machine learning
- Employer(s): Microsoft Research and Princeton University
- Field(s): Machine learning, artificial intelligence research

## Contributions
Sébastien Bubeck is a prominent researcher in machine learning with significant contributions to the field. As an artificial intelligence researcher, he has built an influential academic presence, evidenced by his substantial social media following of 24,200 subscribers on YouTube as of January 2025. His research work connects theoretical foundations with practical applications in computer science, where he explores algorithms and statistical models that enable computer systems to perform tasks without explicit instructions. Bubeck maintains an active online presence through his website (sbubeck.com) and academic profiles, contributing to the broader machine learning community's discourse and development.

## FAQs
### Q: Where does Sébastien Bubeck work?
A: Sébastien Bubeck is affiliated with Microsoft Research and Princeton University, where he conducts research as an artificial intelligence researcher.

### Q: Who was Sébastien Bubeck's doctoral advisor?
A: Sébastien Bubeck's doctoral advisors were Rémi Munos and Cristina Butucea during his studies at Lille University of Science and Technology.

### Q: What is Sébastien Bubeck's area of expertise?
A: Sébastien Bubeck specializes in machine learning, focusing on algorithms and statistical models that computer systems use to perform tasks without explicit instructions.

### Q: How many followers does Sébastien Bubeck have on social media?
A: As of January 2025, Sébastien Bubeck has approximately 24,200 followers on his YouTube channel (UC-UC-nE8B33UGnC-NRaSfug).

## Why They Matter
Sébastien Bubeck matters to the field of machine learning as a significant contributor advancing both theoretical understanding and practical applications in artificial intelligence. His work bridges computer science fundamentals with cutting-edge AI research, helping to shape how machine learning systems develop and operate. As an educator and researcher at prestigious institutions like Microsoft Research and Princeton University, Bubeck contributes to the training and mentorship of future AI researchers. His substantial social media following demonstrates his influence in making complex machine learning concepts accessible to broader audiences, potentially accelerating the field's growth and interdisciplinary applications.

## Notable For
- ISNI identifier: 0000000418932674
- Significant social media following with 24,200 YouTube subscribers as of January 2025
- Affiliated with leading research institutions including Microsoft Research and Princeton University
- Doctoral student of prominent researchers Rémi Munos and Cristina Butucea
- Maintains active academic website (sbubeck.com) with professional presence

## Body
### Personal Information
- Full name: Sébastien Bubeck
- Birth date: April 16, 1985
- Gender: Male
- ISNI: 0000000418932674
- VIAF ID: 305280692
- IDREF ID: 172608252

### Academic Background
- Education: Lille University of Science and Technology
- Doctoral advisors: Rémi Munos and Cristina Butucea
- Mathematics Genealogy Project ID: 280761

### Professional Affiliations
- Current employer: Microsoft Research (since January 4, 2022)
- Previous affiliation: Princeton University
- Described at URL: https://www.microsoft.com/en-us/research/people/sebubeck/

### Online Presence
- Personal website: http://sbubeck.com/
- Twitter: @SebastienBubeck (user ID: 452384386)
- YouTube channel: UC-UC-nE8B33UGnC-NRaSfug (31 videos, 19,000+ subscribers as of 2023)
- Google Scholar ID: V2Y1L4sAAAAJ
- DBLP Author ID: 35/4292
- IEEE Xplore Author ID: 38548391500
- MR Author ID: 872012

### Research Focus
- Primary field: Machine learning
- Secondary field: Artificial intelligence research
- Related discipline: Computer science

### Social Impact
- YouTube followers: 24,200 (as of January 25, 2025)
- Twitter followers: 15,696 (as of February 6, 2023)

## References

1. [Source](http://sbubeck.com/)
2. [Source](https://www.microsoft.com/en-us/research/people/sebubeck/)
3. Virtual International Authority File
4. IdRef
5. YouTube API