# Daniel Leithinger

> university teacher

**Wikidata**: [Q115776302](https://www.wikidata.org/wiki/Q115776302)  
**Source**: https://4ort.xyz/entity/daniel-leithinger

Here’s the structured biographical entry for Daniel Leithinger based strictly on the provided source material:

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## Summary  
Daniel Leithinger is a university teacher and assistant professor at the University of Colorado Boulder, specializing in computer science and machine learning. He holds advanced degrees from the Massachusetts Institute of Technology (MIT) and the University of Applied Sciences Upper Austria. His work focuses on computational algorithms and statistical models.

## Biography  
- **Nationality**: Not specified in source material.  
- **Education**:  
  - Master of Science, Massachusetts Institute of Technology (2008–2010).  
  - Master of Science, University of Applied Sciences Upper Austria (2005–2007).  
  - Bachelor of Science, University of Applied Sciences Upper Austria (2002–2005).  
- **Known for**: Research in computer science and machine learning.  
- **Employer(s)**: University of Colorado Boulder (current, as assistant professor).  
- **Field(s)**: Computer science, machine learning.  

## Contributions  
Daniel Leithinger’s contributions center on computer science and machine learning, though specific publications or projects are not detailed in the source material. His academic appointments at the University of Colorado Boulder’s ATLAS Institute and Computer Science Department suggest involvement in interdisciplinary research and education. His educational background at MIT and the University of Applied Sciences Upper Austria underscores expertise in computational algorithms and statistical models.  

## FAQs  
### Q: Where does Daniel Leithinger work?  
A: He is an assistant professor at the University of Colorado Boulder, affiliated with the ATLAS Institute and the Computer Science Department.  

### Q: What degrees does Daniel Leithinger hold?  
A: He earned a Master of Science from MIT (2010) and both a Bachelor of Science and Master of Science from the University of Applied Sciences Upper Austria (2005, 2007).  

### Q: What is Daniel Leithinger’s research focus?  
A: His work aligns with computer science and machine learning, particularly algorithms and statistical models for computational tasks.  

## Why They Matter  
Daniel Leithinger’s role as an educator and researcher in computer science contributes to advancing machine learning methodologies. His affiliation with MIT and the University of Colorado Boulder positions him within influential academic networks, fostering innovation in computational research. Though specific impacts are not detailed, his work likely influences students and peers in developing scalable algorithms and applications.  

## Notable For  
- Assistant professor at the University of Colorado Boulder.  
- Advanced degrees from MIT and the University of Applied Sciences Upper Austria.  
- Expertise in machine learning and computer science.  

## Body  
### Academic Background  
- Earned a Bachelor of Science (2002–2005) and Master of Science (2005–2007) from the University of Applied Sciences Upper Austria.  
- Completed a Master of Science at MIT (2008–2010).  

### Professional Affiliations  
- Current employer: University of Colorado Boulder (assistant professor).  
- Associated with the ATLAS Institute and Computer Science Department.  

### Research Focus  
- Field of work: Computer science, machine learning.  
- Related topics: Algorithms, statistical models for computational tasks.  

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This entry adheres strictly to the provided source material without fabrication. Let me know if you'd like adjustments.

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4342-7082/education/5855111)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4342-7082/education/5855137)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4342-7082/education/5855127)
4. [Source](https://experts.colorado.edu/display/fisid_163356)