# Gregory Grefenstette

> French-American computer scientist

**Wikidata**: [Q33372235](https://www.wikidata.org/wiki/Q33372235)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Gregory_Grefenstette)  
**Source**: https://4ort.xyz/entity/gregory-grefenstette

## Summary
Gregory Grefenstette is a French-American computer scientist specializing in artificial intelligence and machine learning. Born on April 25, 1956, he has held key roles at institutions such as Inria Saclay, Naver Labs Europe, and the University of Pittsburgh, contributing to advancements in computer science through his research and leadership.

## Biography
- **Born**: April 25, 1956  
- **Nationality**: France (French-American)  
- **Education**:  
  - Bachelor of Science, Stanford University (1975–1978)  
  - Studies at MIT (1974–1975)  
  - PhD in Computer Science, University of Paris-Sud (1980–1983)  
- **Known for**: Research in artificial intelligence and machine learning  
- **Employer(s)**:  
  - Inria Saclay - Île-de-France Research Centre (2013–present)  
  - Alternative Energies and Atomic Energy Commission (2004–2008)  
  - Naver Labs Europe (Principal Scientist, 1993–2001)  
  - University of Pittsburgh (Research Fellow, 1989–1993)  
- **Field(s)**: Computer science, artificial intelligence  

## Contributions  
Gregory Grefenstette’s career spans over four decades of research and leadership in artificial intelligence and machine learning. While specific publications or projects are not detailed in the source material, his roles at institutions like Naver Labs Europe (as Principal Scientist) and Inria Saclay highlight his contributions to advancing computational research. His sustained engagement in academia and industry, including positions at the University of Pittsburgh and the French Atomic Energy Commission, underscores his impact on the field through collaborative and applied research initiatives.

## FAQs  
### Q: What is Gregory Grefenstette’s nationality?  
A: He is French-American, with citizenship in France.  

### Q: Where has he worked?  
A: Notable employers include Inria Saclay, Naver Labs Europe, the Alternative Energies and Atomic Energy Commission, and the University of Pittsburgh.  

### Q: What are his primary research interests?  
A: His work focuses on artificial intelligence and machine learning within the broader field of computer science.  

## Why They Matter  
Gregory Grefenstette’s career reflects a blend of academic rigor and industrial application, bridging European and American research communities. His long-term roles at institutions like Inria Saclay and Naver Labs Europe have supported advancements in AI and machine learning, contributing to the foundational and applied development of these fields. His dual nationality and international collaborations underscore his role as a connector in global computer science research.

## Notable For  
- Principal Scientist at Naver Labs Europe (1993–2001).  
- Research Fellow at the University of Pittsburgh (1989–1993).  
- Affiliations with prestigious institutions including MIT, Stanford University, and the University of Paris-Sud.  
- Dual French-American identity, fostering cross-national research partnerships.  

## Body  
### Education  
- **Stanford University**: Bachelor of Science (1975–1978).  
- **Massachusetts Institute of Technology (MIT)**: Studies in computer science (1974–1975).  
- **University of Paris-Sud**: PhD in Computer Science (1980–1983).  
- **Sorbonne University**: Computer science studies (1979–1980).  
- **UCLouvain**: Studies (1978–1979).  

### Career  
- **Inria Saclay - Île-de-France Research Centre**: Employed from 2013 onward.  
- **Alternative Energies and Atomic Energy Commission (CEA)**: Researcher (2004–2008).  
- **Naver Labs Europe**: Principal Scientist (1993–2001).  
- **University of Pittsburgh**: Research Fellow (1989–1993).  

### Affiliations  
- **ORCID**: Maintains a profile with detailed employment history.  
- **Academia.edu**: Active profile linked to Inria.  
- **LinkedIn**: Public profile documenting professional roles.  

### Research Focus  
Grefenstette’s work aligns with the scientific study of algorithms and statistical models central to machine learning, emphasizing computational problem-solving without explicit instructions. His roles in both academic and industrial settings suggest a focus on applied research, translating theoretical advances into practical applications.

## References

1. LinkedIn
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8479-049X/employment/277128)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8479-049X/employment/277114)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8479-049X/employment/277100)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8479-049X/employment/277096)
6. Virtual International Authority File
7. VIAF ID
8. Czech National Authority Database
9. [Source](https://twitter.com/ggref)
10. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8479-049X/researcher-urls/307709)
11. [SciGraph](https://scigraph.springernature.com/person.011233305102.88)
12. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8479-049X/researcher-urls/307708)