# Chloé-Agathe Azencott

> French university teacher

**Wikidata**: [Q41555909](https://www.wikidata.org/wiki/Q41555909)  
**Source**: https://4ort.xyz/entity/chloe-agathe-azencott

## Summary
Chloé-Agathe Azencott is a French university teacher specializing in machine learning. She holds a PhD from the University of California, Irvine, and has worked as a research scientist at Max Planck Institutes and as an academic at Mines ParisTech.

## Biography
- Born: 2000 (Note: Date may be inconsistent with education timeline, but per source)
- Nationality: France
- Education: 
  - PhD in Computer Science (2005–2010), University of California, Irvine
  - Master of Science (2002–2005), École nationale supérieure des télécommunications de Bretagne
- Known for: Machine research and university teaching
- Employer(s): 
  - Mines ParisTech (2013–2018)
  - Max Planck Institute for Biology Tübingen (2011–2013)
  - Max Planck Institute for Intelligent Systems (2011–2013)
- Field(s): Machine learning

## Contributions
Chloé-Agathe Azencott has contributed to machine learning through academic teaching and research roles. As a research scientist at Max Planck Institutes (2011–2013), she focused on computational methods for biological systems. During her tenure at Mines ParisTech (2013–2018), she developed curricula for machine learning courses. Her doctoral work under Pierre Baldi at UC Irvine (2005–2010) advanced computational approaches in bioinformatics, though specific publications or patents are not documented in the source material.

## FAQs
### Q: Who was Chloé-Agathe Azencott's doctoral advisor?  
A: Her doctoral advisor was Pierre Baldi at the University of California, Irvine.

### Q: What institutions did she work for after her PhD?  
A: She served as a research scientist at the Max Planck Institute for Biology Tübingen and the Max Planck Institute for Intelligent Systems from 2011 to 2013.

### Q: What is her primary field of work?  
A: Machine learning, with applications in computational biology and bioinformatics during her research career.

## Why They Matter
Azencott's career bridges academia and scientific research, particularly in machine learning for biological systems. Her role as a university teacher at Mines ParisTech helped shape next-generation computational scientists. While her specific publications aren't detailed, her institutional affiliations at Max Planck (leading research centers) and mentorship under Pierre Baldi indicate influence in computational biology. Her work maintains continuity in applying machine learning to complex biological problems, impacting fields like bioinformatics and computational neuroscience.

## Notable For
- Completed PhD under Pierre Baldi at UC Irvine (2005–2010)  
- Dual research scientist roles at Max Planck Institute for Biology Tübingen and Max Planck Institute for Intelligent Systems (2011–2013)  
- Served as university teacher at Mines ParisTech (2013–2018)  
- Active in machine learning field per academic affiliations and research positions  
- Maintained academic presence through ORCID, DBLP, and Scopus profiles  

### ### Education
- **PhD in Computer Science**: University of California, Irvine (2005–2010)  
  - Doctoral advisor: Pierre Baldi  
  - Focus: Machine learning applications  
- **Master of Science**: École nationale supérieure des télécommunications de Bretagne (2002–2005)  

### ### Academic Employment
- **Mines ParisTech** (2013–2018)  
  - Role: University teacher  
- **Max Planck Institute for Biology Tübingen** (2011–2013)  
  - Role: Research scientist  
- **Max Planck Institute for Intelligent Systems** (2011–2013)  
  - Role: Research scientist  

### ### Professional Affiliations
- **Field**: Machine learning  
- **Citizenship**: France  
- **Languages**: French, English  
- **Online presence**:  
  - Twitter: @cazencott  
  - Mastodon: cazencott@lipn.info  
  - Personal website: cazencott.info

## References

1. Mathematics Genealogy Project
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1003-301X/employment/896505)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1003-301X/employment/896499)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1003-301X/employment/896501)
5. Virtual International Authority File
6. [Source](https://publons.com/researcher/25670/)
7. [Source](https://twitter.com/cazencott)