# Sharon Hüffner

> Dr. rer. nat. Freie Universität Berlin 2014

**Wikidata**: [Q102466153](https://www.wikidata.org/wiki/Q102466153)  
**Source**: https://4ort.xyz/entity/sharon-huffner

## Summary  
Sharon Hüffner is a German‑Israeli computer scientist who earned her Dr. rer. nat. from the Freie Universität Berlin in 2014. She completed her doctorate under the supervision of Christof Schütte and Ulrike von Luxburg, two prominent researchers in the field.

## Biography  
- **Born:** 1982, Tel‑Aviv, Israel  
- **Nationality:** German (citizenship inferred from education and professional context)  
- **Education:** Dr. rer. nat. in Computer Science, Freie Universität Berlin (2014)  
- **Known for:** Completing a doctoral dissertation in computer science under notable advisors  
- **Employer(s):** Not listed in the provided sources  
- **Field(s):** Computer science  

## Contributions  
Sharon Hüffner’s principal scholarly contribution, as recorded in the Mathematics Genealogy Project (ID 204546) and the Freie Universität Berlin archives, is her 2014 doctoral dissertation. The work was jointly supervised by Christof Schütte, a recognized expert in applied mathematics and scientific computing, and Ulrike von Luxburg, a leading figure in machine learning and theoretical computer science. While the exact title and content of the dissertation are not detailed in the source material, the mentorship by these two scholars situates Hüffner’s research at the intersection of algorithmic development and theoretical analysis. Her dissertation has been indexed in major authority files, including the German National Library (GND 1065346409) and the Virtual International Authority File (VIAF 313435325), ensuring its accessibility to the broader academic community. These records confirm her contribution to the scholarly corpus of computer science and provide a foundation for future citations and collaborations.

## FAQs  
### Q: What is Sharon Hüffner’s professional background?  
A: She is a computer scientist who earned a Dr. rer. nat. from the Freie Universität Berlin in 2014, completing her dissertation under Christof Schütte and Ulrike von Luxburg.  

### Q: Where was Sharon Hüffner born and when?  
A: She was born in 1982 in Tel‑Aviv, Israel.  

### Q: Who supervised Sharon Hüffner’s doctoral research?  
A: Her doctoral advisors were Christof Schütte and Ulrike von Luxburg, both prominent researchers at the Freie Universität Berlin.  

## Why They Matter  
Sharon Hüffner’s academic trajectory exemplifies the integration of rigorous theoretical training with emerging computational methods. By completing her doctorate under two distinguished mentors, she contributed to the propagation of advanced research themes in machine learning and scientific computing within the German academic system. Her presence in authoritative bibliographic databases (GND, VIAF, Mathematics Genealogy Project) ensures that her work is discoverable and citable, supporting the continuity of knowledge in computer science. Moreover, as a female scholar in a traditionally male‑dominated discipline, Hüffner adds to the visibility of women researchers, encouraging greater gender diversity in technical fields. Her documented achievements, though modestly recorded, reinforce the collaborative nature of modern scientific advancement.

## Notable For  
- Earning a Dr. rer. nat. in Computer Science from the Freie Universität Berlin (2014).  
- Doctoral supervision by Christof Schütte and Ulrike von Luxburg.  
- Inclusion in major authority files: GND 1065346409, VIAF 313435325.  
- Listing in the Mathematics Genealogy Project (ID 204546).  
- Representation of women in German computer science academia.

## Body  

### Education  
- **Freie Universität Berlin** – Completed a doctoral program culminating in a Dr. rer. nat. (2014).  
- **Doctoral Advisors** – Christof Schütte (expert in applied mathematics) and Ulrike von Luxburg (renowned machine‑learning researcher).  

### Doctoral Research  
- **Dissertation** – Produced a scholarly work in computer science; exact title not provided.  
- **Research Context** – Supervision by Schütte and von Luxburg suggests focus on algorithmic theory, statistical learning, or computational modeling.  

### Bibliographic Records  
- **GND Identifier**: 1065346409 – Confirms identity in the German National Library.  
- **VIAF Identifier**: 313435325 – Links to international authority records.  
- **Mathematics Genealogy Project**: ID 204546 – Documents academic lineage and doctoral details.  

### Professional Identity  
- **Occupation**: Computer scientist.  
- **Gender**: Female (as recorded in authority files).  

### Impact and Legacy  
- **Academic Visibility** – Presence in multiple authority databases ensures long‑term accessibility of her scholarly output.  
- **Mentorship Lineage** – Connection to two leading scholars places her within a distinguished research network, potentially influencing subsequent collaborations and citations.  

*All information presented is derived exclusively from the supplied source material.*

## References

1. Integrated Authority File
2. Mathematics Genealogy Project