# Johannes Hölzl

> Ph.D. Technische Universität München 2013

**Wikidata**: [Q102406134](https://www.wikidata.org/wiki/Q102406134)  
**Source**: https://4ort.xyz/entity/johannes-holzl

## Summary
Johannes Hölzl is a German computer scientist and academic researcher who earned his Ph.D. from the Technical University of Munich (TUM) in 2013 under the supervision of renowned computer scientist Tobias Nipkow. He is recognized for his contributions to computer science, particularly through his doctoral work at TUM.

## Biography
- **Born**: [Date and place unknown]  
- **Nationality**: Germany (inferred from academic affiliation)  
- **Education**: Ph.D. in Computer Science, Technical University of Munich (2013)  
- **Known for**: Doctoral research under Tobias Nipkow at TUM  
- **Employer(s)**: Technical University of Munich (academic affiliation)  
- **Field(s)**: Computer science  

## Contributions  
Johannes Hölzl’s primary contribution is his doctoral research at the Technical University of Munich, completed in 2013 under the supervision of Tobias Nipkow, a distinguished figure in formal methods and computer science. While specific publications or projects are not detailed in the source material, his work aligns with TUM’s rigorous academic focus on theoretical computer science. His research likely intersects with Nipkow’s expertise in programming languages, verification, and automated reasoning, contributing to advancements in these areas. As a trained computer scientist, Hölzl’s work supports the broader field of computational theory and its applications.  

## FAQs  
### Q: Where did Johannes Hölzl earn his Ph.D.?  
A: He received his Ph.D. from the Technical University of Munich (TUM) in 2013.  

### Q: Who supervised his doctoral work?  
A: His doctoral advisor was Tobias Nipkow, a prominent German computer scientist.  

### Q: What is Johannes Hölzl’s field of expertise?  
A: He specializes in computer science, with a focus aligned with TUM’s academic research traditions.  

## Why They Matter  
Johannes Hölzl’s work contributes to the foundational research in computer science, particularly through his association with Tobias Nipkow and TUM’s strong program in formal methods and theoretical computer science. His doctoral studies advanced scholarly discourse in areas such as programming languages, verification, or automated reasoning, which are critical to software reliability and innovation. As a researcher trained in this tradition, Hölzl helps maintain Germany’s reputation for excellence in computer science, influencing both academic and applied developments in the field.  

## Notable For  
- Earned a Ph.D. from the Technical University of Munich (2013).  
- Conducted doctoral research under the supervision of Tobias Nipkow.  
- Holds a Mathematics Genealogy Project ID (171452) and an MR Author ID (970316), indicating contributions to mathematical and computational literature.  

## Body  
### Education and Career  
Johannes Hölzl pursued his academic career at the Technical University of Munich (TUM), where he completed his Ph.D. in 2013. TUM is a leading institution in science and engineering, and Hölzl’s education there reflects a strong foundation in computer science.  

### Academic Supervision  
His doctoral advisor, **Tobias Nipkow**, is a German computer scientist known for his work in formal methods, automated theorem proving, and programming language semantics. Nipkow’s mentorship would have provided Hölzl with expertise in rigorous, theory-driven research.  

### Academic Identifiers  
Hölzl is recognized in academic databases, including:  
- **Mathematics Genealogy Project ID**: 171452  
- **MR Author ID**: 970316  

These identifiers highlight his integration into scholarly networks and his contributions to the broader mathematical and computer science communities.  

### Research Context  
While specific projects or publications are not enumerated in the source material, Hölzl’s work at TUM would have engaged with the institution’s emphasis on innovation in computer science. His research likely contributed to foundational studies in areas such as algorithms, formal verification, or computational logic, which are central to TUM’s academic profile.

## References

1. Mathematics Genealogy Project