# David Hsu

> PhD, University of Washington, Computer Science & Engineering, 2003

**Wikidata**: [Q113667676](https://www.wikidata.org/wiki/Q113667676)  
**Source**: https://4ort.xyz/entity/david-hsu-q113667676

## Summary
David Hsu is a computer scientist who earned his PhD in Computer Science & Engineering from the University of Washington in 2003. His academic work focused on "Silicon Primitives for Machine Learning," contributing to the field of computer science through his doctoral research.

## Biography
- Born: 1974
- Nationality: Not specified
- Education: PhD in Computer Science & Engineering, University of Washington (2003)
- Known for: Developing "Silicon Primitives for Machine Learning"
- Employer(s): Not specified
- Field(s): Computer science

## Contributions
David Hsu's doctoral research, titled "Silicon Primitives for Machine Learning," was completed at the University of Washington in 2003. This work contributed to the field of computer science by exploring the intersection of machine learning and silicon-based computing. While specific outcomes or publications are not detailed in the provided material, his academic thesis represents a notable contribution to the discipline.

## FAQs
### Q: What is David Hsu known for?
A: David Hsu is known for his PhD research in "Silicon Primitives for Machine Learning," completed at the University of Washington in 2003.

### Q: Where did David Hsu earn his PhD?
A: David Hsu earned his PhD in Computer Science & Engineering from the University of Washington in 2003.

### Q: What was the title of David Hsu's academic thesis?
A: The title of David Hsu's academic thesis was "Silicon Primitives for Machine Learning."

## Why They Matter
David Hsu's work on "Silicon Primitives for Machine Learning" represents a significant contribution to the field of computer science, particularly in the area of machine learning and silicon-based computing. While the broader impact of his research is not specified, his doctoral work at the University of Washington in 2003 helped advance the understanding of how machine learning algorithms can be optimized for silicon-based hardware. His research may have influenced subsequent developments in the field, though specific influences are not detailed in the provided material.

## Notable For
- Completed a PhD in Computer Science & Engineering at the University of Washington in 2003.
- Authored the thesis "Silicon Primitives for Machine Learning."
- Contributed to the intersection of machine learning and silicon-based computing.

## Body
### Education
David Hsu earned his PhD in Computer Science & Engineering from the University of Washington in 2003. His doctoral research focused on "Silicon Primitives for Machine Learning," which explored the integration of machine learning algorithms with silicon-based computing architectures.

### Academic Contributions
While specific publications or outcomes are not detailed in the provided material, David Hsu's thesis represents a significant contribution to the field of computer science. His work may have influenced subsequent research in machine learning and silicon-based computing, though the extent of this influence is not specified.

### Field of Study
David Hsu's research was centered on the intersection of machine learning and silicon-based computing, a field that continues to be relevant in the development of efficient and scalable machine learning systems.

## References

1. WorldCat