# Mathias Staudigl

> researcher (ORCID 0000-0003-2481-0019)

**Wikidata**: [Q92985858](https://www.wikidata.org/wiki/Q92985858)  
**Source**: https://4ort.xyz/entity/mathias-staudigl

Here’s the structured biographical entry for Mathias Staudigl:

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## Summary  
Mathias Staudigl is an Austrian researcher specializing in mathematical optimization, machine learning, and game theory. He is currently affiliated with the University of Mannheim and has previously worked at Maastricht University and the University of Vienna. His contributions focus on advancing computational methods in these fields.

## Biography  
- Born: 1983  
- Nationality: Austrian  
- Education: Educated at the University of Vienna  
- Known for: Research in mathematical optimization, machine learning, and game theory  
- Employer(s):  
  - University of Mannheim (2023–present)  
  - Maastricht University (2015–2023)  
  - School of Business and Economics (2015–2020)  
- Field(s): Computer science, machine learning, mathematical optimization, game theory  

## Contributions  
Mathias Staudigl has contributed to research in mathematical optimization, machine learning, and game theory, though specific publications or projects are not detailed in the provided source material. His academic affiliations suggest a focus on theoretical and applied computational methods. He has been associated with institutions like the University of Mannheim and Maastricht University, where he likely engaged in collaborative research and teaching. His ORCID profile (0000-0003-2481-0019) and Google Scholar ID (Gt5EmM0AAAAJ) indicate active scholarly output, though exact titles or impacts of his work are not specified here.

## FAQs  
### Q: What are Mathias Staudigl's primary research interests?  
A: His work focuses on mathematical optimization, machine learning, and game theory, with applications in computer science.  

### Q: Where has Mathias Staudigl worked?  
A: He has held positions at the University of Mannheim, Maastricht University, and the School of Business and Economics.  

### Q: Where did Mathias Staudigl study?  
A: He was educated at the University of Vienna, where he also completed his doctoral studies under advisors Immanuel Bomze and Manfred Nermuth.  

## Why They Matter  
Mathias Staudigl's research in mathematical optimization and machine learning contributes to foundational advancements in computational methods. His work likely influences algorithmic design and theoretical frameworks in these fields. While specific impacts are not detailed here, his affiliations with prominent institutions suggest collaborations that advance academic and practical applications of his research.  

## Notable For  
- Research in mathematical optimization, machine learning, and game theory.  
- Affiliations with the University of Mannheim and Maastricht University.  
- Doctoral advisors include Immanuel Bomze and Manfred Nermuth.  

## Body  
### Academic Background  
- Educated at the University of Vienna.  
- Doctoral advisors: Immanuel Bomze and Manfred Nermuth.  

### Professional Affiliations  
- University of Mannheim (2023–present).  
- Maastricht University (2015–2023).  
- School of Business and Economics (2015–2020).  

### Research Focus  
- Mathematical optimization.  
- Machine learning.  
- Game theory.  

### Identifiers  
- ORCID: 0000-0003-2481-0019.  
- Google Scholar ID: Gt5EmM0AAAAJ.  
- Mathematics Genealogy Project ID: 142372.  

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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
2. ORCID iD
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-2481-0019/employment/20744739)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-2481-0019/employment/6153453)
5. Integrated Authority File