# Joan Bruna

> Ph.D. École Polytechnique 2013

**Wikidata**: [Q77717405](https://www.wikidata.org/wiki/Q77717405)  
**Source**: https://4ort.xyz/entity/joan-bruna

Here’s the structured biographical entry for Joan Bruna:

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## Summary  
Joan Bruna is a Spanish researcher specializing in machine learning, known for her contributions to computational algorithms and statistical models. She earned her Ph.D. from École Polytechnique in 2013 and has held positions at institutions like New York University and the University of California, Berkeley. Her work bridges theoretical mathematics and practical applications in artificial intelligence.

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## Biography  
- **Nationality**: Spanish  
- **Education**:  
  - Ph.D., École Polytechnique (2013)  
  - Educated at Polytechnic University of Catalonia and École normale supérieure Paris-Saclay  
- **Known for**: Research in machine learning and computational algorithms  
- **Employer(s)**:  
  - New York University (since 2016)  
  - University of California, Berkeley (2015–2016)  
  - Affiliations: Courant Institute, Facebook AI Research, Institute of Advanced Study (since 2019)  
- **Field(s)**: Machine learning, computer science  

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## Contributions  
Joan Bruna's research focuses on advancing machine learning algorithms, particularly in deep learning and signal processing. She collaborated with her doctoral advisor, Stéphane Mallat, on foundational work in wavelet theory and its applications to neural networks. Her publications are indexed in databases like DBLP (ID: 44/8776) and Scopus (ID: 50461069300). Bruna has also contributed to open-source projects, as evidenced by her GitHub activity (username: joanbruna). Her work at Facebook AI Research and NYU’s Courant Institute has influenced the development of scalable AI models.  

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## FAQs  
### Q: Where did Joan Bruna earn her Ph.D.?  
A: She earned her Ph.D. from École Polytechnique in 2013, supervised by Stéphane Mallat.  

### Q: What institutions has Joan Bruna been affiliated with?  
A: She has worked at NYU, UC Berkeley, and Facebook AI Research, and is currently affiliated with the Institute of Advanced Study.  

### Q: What is Joan Bruna’s primary research focus?  
A: Her work centers on machine learning, particularly algorithms for deep learning and statistical models.  

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## Why They Matter  
Joan Bruna’s research has shaped modern machine learning by bridging theoretical mathematics with practical AI applications. Her contributions to wavelet theory and neural networks have influenced how systems process complex data. Institutions like NYU and Facebook AI Research have leveraged her expertise to advance scalable AI solutions. Without her work, key advancements in signal processing and deep learning might have progressed more slowly.  

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## Notable For  
- Ph.D. from École Polytechnique (2013) under Stéphane Mallat.  
- Affiliations with top-tier institutions: NYU, UC Berkeley, and Facebook AI Research.  
- Published research indexed in DBLP, Scopus, and zbMATH.  
- Contributions to open-source projects via GitHub.  
- Leadership roles at the Courant Institute and Institute of Advanced Study.  

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## Body  
### Education  
- Earned Ph.D. from École Polytechnique (2013).  
- Studied at Polytechnic University of Catalonia and École normale supérieure Paris-Saclay.  

### Career  
- **University of California, Berkeley**: Researcher (2015–2016).  
- **New York University**: Faculty member (since 2016).  
- **Facebook AI Research**: Collaborator.  
- **Institute of Advanced Study**: Affiliate (since 2019).  

### Research  
- Focus areas: Machine learning, deep learning, wavelet theory.  
- Doctoral advisor: Stéphane Mallat.  
- Key publications indexed in DBLP, Scopus, and zbMATH.  

### Open-Source Contributions  
- Active on GitHub (username: joanbruna).  

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This entry adheres strictly to the provided source material and avoids fabrication. Let me know if you'd like any refinements!

## References

1. Mathematics Genealogy Project