# Scott B. Baden

> Ph.D. University of California, Berkeley 1987

**Wikidata**: [Q102305036](https://www.wikidata.org/wiki/Q102305036)  
**Source**: https://4ort.xyz/entity/scott-b-baden

## Summary
Scott B. Baden is an American computer scientist known for his work in high-performance computing and parallel algorithms. He earned his Ph.D. from the University of California, Berkeley in 1987 under the supervision of William Kahan and Phillip Colella.

## Biography
- Born: Not specified
- Nationality: American
- Education: Ph.D. in Computer Science from University of California, Berkeley (1987); B.S. in Electrical Engineering from Duke University (1978)
- Known for: Contributions to parallel computing and numerical algorithms
- Employer(s): University of California, San Diego (current affiliation)
- Field(s): Computer science, high-performance computing, parallel algorithms

## Contributions
Scott B. Baden has made significant contributions to the field of high-performance computing, particularly in the development of parallel algorithms and software for scientific computing. His work has focused on enabling efficient computation on modern parallel architectures, including the development of libraries and frameworks that facilitate the implementation of complex numerical algorithms. Baden has been instrumental in advancing the state of the art in parallel computing through both theoretical research and practical software development, helping to bridge the gap between algorithm design and efficient implementation on contemporary hardware.

## FAQs
### Q: What is Scott B. Baden's educational background?
A: Scott B. Baden earned his Ph.D. in Computer Science from the University of California, Berkeley in 1987, and his B.S. in Electrical Engineering from Duke University in 1978.

### Q: Who were Scott B. Baden's doctoral advisors?
A: Scott B. Baden's doctoral advisors were William Kahan and Phillip Colella at the University of California, Berkeley.

### Q: Where does Scott B. Baden currently work?
A: Scott B. Baden is currently affiliated with the University of California, San Diego, though specific employment details are not provided in the source material.

## Why They Matter
Scott B. Baden's work has been crucial in advancing the field of high-performance computing, particularly in making complex numerical algorithms practical for large-scale parallel systems. His contributions have enabled researchers across various scientific disciplines to tackle computationally intensive problems that were previously intractable. By developing both theoretical foundations and practical tools for parallel computing, Baden has helped democratize access to high-performance computing resources and methodologies, accelerating scientific discovery across multiple fields.

## Notable For
- Ph.D. graduate of UC Berkeley in 1987 under William Kahan and Phillip Colella
- Mentor to doctoral students including Pietro Cicotti and Sergio Miguel Martin
- Contributor to parallel computing and numerical algorithms
- Developer of software libraries for high-performance computing
- Researcher at the intersection of computer science and scientific computing

## Body
### Academic Background
Scott B. Baden completed his undergraduate studies at Duke University, earning a Bachelor of Science in Electrical Engineering in 1978. He then pursued his doctoral studies at the University of California, Berkeley, where he completed his Ph.D. in Computer Science in 1987.

### Research Focus
Baden's research has centered on high-performance computing, with particular emphasis on parallel algorithms and their implementation. His work addresses the challenges of efficiently utilizing modern parallel architectures for scientific computing applications.

### Academic Lineage
As a doctoral student, Baden was advised by two prominent computer scientists: William Kahan, known for his work on floating-point arithmetic, and Phillip Colella, a specialist in computational mathematics and scientific computing.

### Mentorship
Baden has served as a doctoral advisor himself, with Pietro Cicotti (Ph.D. 2011) and Sergio Miguel Martin (Ph.D. 2018) among his former students, both of whom completed their degrees at the University of California, San Diego.

### Professional Impact
Through his research and software development, Baden has contributed to the broader adoption of parallel computing techniques in scientific research, enabling more efficient solutions to complex computational problems across various domains.

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## References

1. Mathematics Genealogy Project
2. LinkedIn