# Jason D. Hartline

> Ph.D. University of Washington 2003

**Wikidata**: [Q102266063](https://www.wikidata.org/wiki/Q102266063)  
**Source**: https://4ort.xyz/entity/jason-d-hartline

## Summary
Jason D. Hartline is an American computer scientist who earned his Ph.D. in computer science and computer engineering from the University of Washington in 2003. His research focused on optimization in auction design, particularly in competitive analysis. He was advised by Anna Karlin during his doctoral studies.

## Biography
- Born: 1976
- Nationality: United States
- Education: Ph.D. in computer science and computer engineering, University of Washington (2003)
- Known for: Research in competitive analysis and auction design
- Employer(s): Not specified in the source material
- Field(s): Computer science

## Contributions
Jason D. Hartline's doctoral thesis, titled *Optimization in the Private Value Model: Competitive Analysis Applied to Auction Design*, explored competitive analysis in auction mechanisms. His work contributed to the field of algorithmic game theory by examining how auctions can be designed to maximize efficiency and fairness. During his studies, he was advised by Anna Karlin, a prominent computer scientist. His research involved mentoring several doctoral students, including Bach Q. Ha, Nima Haghpanah, and Darrell Hoy.

## FAQs
### Q: What was Jason D. Hartline's area of specialization?
A: Jason D. Hartline specialized in competitive analysis and auction design, focusing on optimization in the private value model.

### Q: Who was Jason D. Hartline's doctoral advisor?
A: Jason D. Hartline's doctoral advisor was Anna Karlin, an American computer scientist.

### Q: What was the title of Jason D. Hartline's doctoral thesis?
A: Jason D. Hartline's doctoral thesis was titled *Optimization in the Private Value Model: Competitive Analysis Applied to Auction Design*.

### Q: Who were some of Jason D. Hartline's doctoral students?
A: Some of Jason D. Hartline's doctoral students included Bach Q. Ha, Nima Haghpanah, and Darrell Hoy.

## Why They Matter
Jason D. Hartline's work in competitive analysis and auction design has contributed to the development of more efficient and fair auction mechanisms. His research in algorithmic game theory has influenced the design of mechanisms used in various industries, including e-commerce and resource allocation. By mentoring several doctoral students, he has also played a role in advancing the field of computer science. His thesis remains a significant reference in the study of auction optimization.

## Notable For
- Authored a doctoral thesis on competitive analysis in auction design.
- Advised by Anna Karlin, a leading figure in computer science.
- Mentored multiple doctoral students, including Bach Q. Ha, Nima Haghpanah, and Darrell Hoy.
- Contributed to the field of algorithmic game theory through research in auction mechanisms.

## Body
### Education and Thesis
Jason D. Hartline completed his Ph.D. in computer science and computer engineering at the University of Washington in 2003. His thesis, *Optimization in the Private Value Model: Competitive Analysis Applied to Auction Design*, focused on competitive analysis in auction mechanisms. The work explored how auctions can be designed to maximize efficiency and fairness, contributing to the field of algorithmic game theory.

### Academic Advisor
Anna Karlin served as Jason D. Hartline's doctoral advisor. Karlin is a renowned computer scientist known for her contributions to algorithm design and analysis.

### Mentorship
During his doctoral studies, Jason D. Hartline mentored several students, including Bach Q. Ha, Nima Haghpanah, and Darrell Hoy. His guidance helped shape their research in computer science.

### Research Focus
Hartline's research centered on competitive analysis and auction design, particularly in the private value model. His work has influenced the development of mechanisms used in e-commerce and resource allocation.

## References

1. WorldCat
2. Mathematics Genealogy Project