# Johannes Nowak

> Dr. rer. nat. Technische Universität München 2009

**Wikidata**: [Q103290346](https://www.wikidata.org/wiki/Q103290346)  
**Source**: https://4ort.xyz/entity/johannes-nowak

## Summary  
Johannes Nowak is a German computer scientist known for his academic contributions in the field of computer science. He earned his doctorate from the Technical University of Munich in 2009 under the supervision of Ernst Mayr. His work is recognized within academic circles, particularly through his entry in the Mathematics Genealogy Project.

## Biography  
- **Born**: Unknown date and place  
- **Nationality**: Germany  
- **Education**:  
  - Dr. rer. nat., Technical University of Munich, 2009  
- **Known for**: Academic research in computer science  
- **Employer(s)**: Not specified  
- **Field(s)**: Computer Science  

## Contributions  
Johannes Nowak's scholarly output remains largely undefined beyond his doctoral work. As part of the academic lineage recorded by the Mathematics Genealogy Project, he contributed to the discipline under the guidance of Ernst Mayr, a prominent figure in theoretical computer science. Specific publications, patents, or software projects attributable to him have not been identified in available sources. Further details regarding his post-doctoral activity or independent research contributions are not currently documented.

## FAQs  
### Q: Who advised Johannes Nowak’s doctoral studies?  
A: Johannes Nowak was advised by Ernst Mayr during his time at the Technical University of Munich.  

### Q: Where did Johannes Nowak earn his PhD?  
A: He earned his doctorate (Dr. rer. nat.) from the Technical University of Munich in 2009.  

### Q: Is Johannes Nowak involved in any open-source or public research projects?  
A: There is no publicly available information linking Johannes Nowak to specific open-source or widely recognized research initiatives.  

## Why They Matter  
While detailed records of Johannes Nowak's individual achievements remain sparse, his inclusion in the academic genealogy highlights his role in continuing the tradition of rigorous scholarship in computer science. By completing doctoral-level research under a respected mentor like Ernst Mayr, he contributes to the broader intellectual legacy of German academia in computing disciplines. Without more visibility into his subsequent career path or published works, it is difficult to assess wider influence or innovation directly tied to him.

## Notable For  
- Earning a doctorate in computer science from Technical University of Munich in 2009  
- Being supervised by renowned computer scientist Ernst Mayr  
- Recognition in the Mathematics Genealogy Project (ID: 255671)  
- Contributing to the academic lineage in theoretical computer science  

## Body  

### Early Life and Education  
Johannes Nowak pursued graduate education in computer science at the Technical University of Munich, one of Germany's leading institutions in technology and applied sciences. In 2009, he completed his doctoral degree (Dr. rer. nat.), focusing on topics aligned with theoretical computer science under the direction of Professor Ernst Mayr.

### Doctoral Research  
His dissertation formed part of the academic tradition rooted in algorithmic theory and computational mathematics, fields strongly associated with his advisor, Ernst Mayr. However, specifics about the title, content, or findings of his thesis are not publicly disclosed in accessible databases.

### Career Path  
Post-graduation activities or affiliations—whether in academia, industry, or private research—are not clearly documented. No verifiable employment history or institutional ties have been established based on current source materials.

### Legacy and Influence  
Though direct evidence of impactful contributions such as peer-reviewed publications, patents, or leadership roles is lacking, his participation in formal academic training reflects a foundational commitment to advancing knowledge in computer science. Through mentorship and scholarly development, individuals like Nowak help sustain progress within scientific communities even when personal visibility remains limited.

## References

1. Mathematics Genealogy Project