# Adrian Sampson

> Ph.D. University of Washington 2015

**Wikidata**: [Q102681193](https://www.wikidata.org/wiki/Q102681193)  
**Source**: https://4ort.xyz/entity/adrian-sampson-q102681193

## Summary
Adrian Sampson is a computer scientist who earned his Ph.D. from the University of Washington in 2015, focusing on hardware and software for approximate computing under the guidance of Luis Ceze.

## Biography
- Born: [No date and place provided]
- Nationality: [Not specified]
- Education: Ph.D. in computer science from the University of Washington (2015)
- Known for: Hardware and Software for Approximate Computing
- Employer(s): [Not specified]
- Field(s): Computer science

## Contributions
Adrian Sampson's primary contribution is his doctoral thesis titled "Hardware and Software for Approximate Computing," completed in 2015 at the University of Washington under the supervision of Luis Ceze. His work explores the intersection of hardware and software techniques to enable approximate computing, a field focused on designing systems that accept some level of error to improve efficiency. He is associated with the GitHub username sampsyo and has an academic genealogy ID of 218617, indicating his academic lineage in computer science research.

## FAQs
### Q: Who is Adrian Sampson's doctoral advisor?
A: His doctoral advisor is Luis Ceze, with Daniel Grossman also noted as an advisor.
### Q: Where did Adrian Sampson earn his Ph.D.?
A: He earned his Ph.D. from the University of Washington in 2015.
### Q: What is Adrian Sampson's research focus?
A: His research focuses on hardware and software for approximate computing.

## Why They Matter
Adrian Sampson's work on hardware and software for approximate computing has contributed to advancing the field of computer science by exploring efficient computing solutions that tolerate some level of error. His research helps in developing systems that can operate more efficiently, particularly in resource-constrained environments, influencing subsequent research and practical applications in areas like embedded systems and energy-efficient computing.

## Notable For
- Earned a Ph.D. in computer science from the University of Washington in 2015.
- Thesis titled "Hardware and Software for Approximate Computing."
- Supervised by Luis Ceze, with Daniel Grossman also as a doctoral advisor.
- Associated with GitHub username sampsyo and academic genealogy ID 218617.

## Body
### Education
Adrian Sampson completed his doctoral studies at the University of Washington, earning a Ph.D. in computer science in 2015. His academic degree includes a doctorate from the University of Washington, with the thesis focusing on hardware and software for approximate computing. He is part of the mathematics genealogy project, identified by ID 218617.

### Research Focus
His research centers on approximate computing, which involves designing systems that accept controlled errors to enhance efficiency. This work bridges hardware and software domains, exploring how to optimize computing resources while tolerating minor inaccuracies.

### Academic Affiliations
Sampson is associated with the University of Washington as his educational institution, and his doctoral advisor includes Luis Ceze, with Daniel Grossman also noted as an advisor. He maintains a presence on GitHub under the username sampsyo.

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## References

1. Mathematics Genealogy Project
2. WorldCat