# Daniel Haase

> Dr. rer. nat. Friedrich-Schiller-Universität Jena 2015

**Wikidata**: [Q102754338](https://www.wikidata.org/wiki/Q102754338)  
**Source**: https://4ort.xyz/entity/daniel-haase-q102754338

## Summary
Daniel Haase is a computer scientist who earned his Dr. rer. nat. (doctorate) from Friedrich Schiller University Jena in 2015 under the supervision of Joachim Denzler. His work contributes to the field of computer science, particularly through his doctoral research and academic affiliations.

## Biography
- Born: [Date and place unknown]  
- Nationality: [Unknown]  
- Education: Dr. rer. nat., Friedrich Schiller University Jena (2015)  
- Known for: Doctoral research in computer science under Joachim Denzler  
- Employer(s): [Not specified]  
- Field(s): Computer science  

## Contributions  
Daniel Haase’s primary contribution is his doctoral research completed at Friedrich Schiller University Jena in 2015. While specific publications or projects are not detailed in the source material, his work under the supervision of Joachim Denzler—a notable computer scientist—positions him within a lineage of academic research in the field. His inclusion in the Mathematics Genealogy Project (ID: 223991) further highlights his role in the broader academic community. As a computer scientist, his research likely focuses on advancing technical knowledge, though explicit outcomes such as papers, patents, or products are not enumerated in the provided data.  

## FAQs  
### Q: Where did Daniel Haase earn his doctoral degree?  
A: He earned his Dr. rer. nat. from Friedrich Schiller University Jena in 2015.  

### Q: Who supervised Daniel Haase’s doctoral work?  
A: His doctoral advisor was Joachim Denzler, a computer scientist affiliated with Friedrich-Alexander-Universität Erlangen-Nürnberg.  

### Q: What is Daniel Haase’s field of expertise?  
A: He is a computer scientist, though specific subfields or research interests are not detailed in the source material.  

## Why They Matter  
Daniel Haase’s significance lies in his contribution to academic research in computer science, particularly through his doctoral studies at Friedrich Schiller University Jena. As a student of Joachim Denzler, his work builds on established expertise in the field, potentially influencing subsequent research or applications. While specific impacts are not enumerated, his role as a trained computer scientist underscores his participation in advancing technical knowledge. Without his contributions, the academic landscape of his research area might lack the incremental progress fostered by doctoral studies and collaborative scholarship.  

## Notable For  
- Earned a Dr. rer. nat. from Friedrich Schiller University Jena (2015).  
- Conducted doctoral research under the supervision of Joachim Denzler.  
- Listed in the Mathematics Genealogy Project (ID: 223991).  

## Body  
### Education  
Daniel Haase completed his Dr. rer. nat. at Friedrich Schiller University Jena in 2015. His doctoral advisor was Joachim Denzler, a computer scientist with a Dr.-Ing. from Friedrich-Alexander-Universität Erlangen-Nürnberg (1997).  

### Academic Affiliation  
Haase’s education and research are tied to Friedrich Schiller University Jena, a key institution in his academic background.  

### Research Context  
While specific research topics are not detailed, his work under Joachim Denzler aligns with computer science disciplines. Denzler’s expertise suggests potential focus areas such as computational methods or applied computer science.  

### Professional Identity  
Haase is classified as a computer scientist, with his doctoral degree and academic lineage forming the foundation of his professional identity.  

### Recognition  
His inclusion in the Mathematics Genealogy Project (ID: 223991) and possession of an MR Author ID (1087050) reflect his integration into academic and research networks.  

### Limitations of Available Data  
No explicit details are provided about Haase’s publications, career roles, or direct contributions beyond his doctoral achievement. Further impact or specific achievements would require additional sourced information.

## References

1. Mathematics Genealogy Project