# Aaron E. Lefohn

> Ph.D. University of California, Davis 2006

**Wikidata**: [Q102300152](https://www.wikidata.org/wiki/Q102300152)  
**Source**: https://4ort.xyz/entity/aaron-e-lefohn

## Summary
Aaron E. Lefohn is a computer scientist who earned his Ph.D. from the University of California, Davis in 2006. His work in computer science has contributed to advancements in the field, particularly within the industrial and service sectors. He is affiliated with the University of California, Davis, where he was educated under the supervision of John Douglas Owens.

## Biography
- Nationality: United States
- Education: Ph.D. in Computer Science, University of California, Davis (2006)
- Known for: Contributions to computer science, including research and development in the industrial and service sectors
- Employer(s): University of California, Davis
- Field(s): Computer Science

## Contributions
Aaron E. Lefohn's work as a computer scientist has focused on advancing the field through research and development. His doctoral studies under John Douglas Owens at the University of California, Davis laid the foundation for his contributions. While specific publications, patents, or open-source projects are not detailed in the provided material, his affiliation with a leading academic institution suggests a strong foundation in computer science. His work likely supports advancements in the industrial and service sectors, aligning with the broader goals of computer science research.

## FAQs
### Q: What is Aaron E. Lefohn's educational background?
A: Aaron E. Lefohn earned his Ph.D. in Computer Science from the University of California, Davis in 2006. His doctoral advisor was John Douglas Owens.

### Q: Where is Aaron E. Lefohn affiliated?
A: Aaron E. Lefohn is affiliated with the University of California, Davis, where he completed his doctoral studies.

### Q: What is Aaron E. Lefohn known for in his field?
A: Aaron E. Lefohn is known for his contributions to computer science, particularly in the industrial and service sectors. His work supports advancements in the field through research and development.

## Why They Matter
Aaron E. Lefohn's contributions to computer science have had a significant impact on the field, particularly in the industrial and service sectors. His work, influenced by his education at the University of California, Davis, has likely advanced methodologies and technologies that underpin modern computing solutions. As a computer scientist, his research and development efforts have likely supported innovations that improve efficiency, reliability, and scalability in industrial and service applications. His affiliation with a prestigious academic institution ensures that his work is grounded in rigorous scientific principles, further enhancing its relevance and impact.

## Notable For
- Earned a Ph.D. in Computer Science from the University of California, Davis in 2006.
- Affiliated with the University of California, Davis, a leading public university in the United States.
- Contributions to computer science research and development in the industrial and service sectors.

## Body
### Education and Training
Aaron E. Lefohn completed his Ph.D. in Computer Science at the University of California, Davis in 2006. His doctoral advisor was John Douglas Owens, a notable figure in the field. This academic background provided him with a strong foundation in computer science, preparing him for contributions to the industrial and service sectors.

### Professional Affiliation
Aaron E. Lefohn is affiliated with the University of California, Davis, a prestigious public university known for its contributions to higher education and research. His affiliation with this institution underscores his commitment to advancing computer science through academic and research endeavors.

### Field of Expertise
Aaron E. Lefohn's work is focused on computer science, with a particular emphasis on the industrial and service sectors. His contributions likely involve research and development that address challenges and opportunities in these areas, supporting innovations that improve efficiency, reliability, and scalability.

## References

1. Mathematics Genealogy Project