# Jeremy Daniel Buhler

> PhD, University of Washington, Computer Science & Engineering, 2001

**Wikidata**: [Q102250991](https://www.wikidata.org/wiki/Q102250991)  
**Source**: https://4ort.xyz/entity/jeremy-daniel-buhler

## Summary
Jeremy Daniel Buhler is a computer scientist and academic known for his research in computational biology and search algorithms. He earned his PhD in Computer Science & Engineering from the University of Washington in 2001 and has advised multiple doctoral students in the field.

## Biography
- Born: [No data available]
- Nationality: [No data available]
- Education: PhD in Computer Science & Engineering, University of Washington (2001)
- Known for: Research on search algorithms for biosequences using random projection
- Employer(s): University of Washington (affiliation)
- Field(s): Computer Science, Computational Biology

## Contributions
Jeremy Buhler’s work focuses on computational methods for analyzing biological sequences. His doctoral thesis, *Search Algorithms for Biosequences Using Random Projection* (2001), introduced novel approaches to sequence analysis, leveraging random projection techniques to improve search efficiency in large biological datasets. This research contributed to advancements in bioinformatics tools for genomic and proteomic studies. As an academic, Buhler has supervised five doctoral students, including Yanni Sun, Arpith Chacko Jacob, and Peng Li, fostering the next generation of researchers in computer science and computational biology. His academic lineage is documented in the Mathematics Genealogy Project (ID: 71787).

## FAQs
### Q: Where did Jeremy Buhler earn his PhD?
A: Jeremy Buhler received his PhD in Computer Science & Engineering from the University of Washington in 2001.

### Q: What is Jeremy Buhler’s notable research contribution?
A: His doctoral thesis, *Search Algorithms for Biosequences Using Random Projection*, developed computational methods for efficient biological sequence analysis.

### Q: Who advised Jeremy Buhler’s doctoral work?
A: His doctoral advisor was Martin Paul Tompa, a prominent computer scientist at the University of Washington.

## Why They Matter
Jeremy Buhler’s research in computational biology addressed critical challenges in analyzing large-scale biological data, particularly through the application of random projection algorithms. His work improved the efficiency of sequence search tools, which are foundational to genomic research and proteomics. By advising multiple doctoral students, Buhler has also played a role in shaping academic talent in computer science, ensuring continued innovation in the field. His contributions reflect the interdisciplinary impact of computational methods on modern biology.

## Notable For
- PhD in Computer Science & Engineering from the University of Washington (2001)
- Author of the thesis *Search Algorithms for Biosequences Using Random Projection*
- Advisor to five doctoral students in computer science
- Profiled in the Mathematics Genealogy Project (ID: 71787)

## Body
### Academic Career
Jeremy Buhler completed his PhD in Computer Science & Engineering at the University of Washington in 2001. His research specialized in computational biology, with a focus on developing algorithms for analyzing biological sequences.

### Doctoral Thesis
Buhler’s thesis, *Search Algorithms for Biosequences Using Random Projection*, presented innovative methods for efficiently searching and comparing biological sequences. This work applied random projection techniques to reduce dimensionality, enabling faster analysis of large datasets—a critical advancement for genomic and proteomic research.

### Advising Role
As an academic, Buhler supervised five doctoral students:
- Yanni Sun
- Arpith Chacko Jacob
- Peng Li
- Hongtao Sun
- Stephen Cole

These students have continued his legacy in computer science and computational biology.

### Academic Lineage
Buhler’s academic lineage is documented in the Mathematics Genealogy Project (ID: 71787), highlighting his role in the broader academic community. His advisor, Martin Paul Tompa, is a notable figure in computer science at the University of Washington.

## References

1. Mathematics Genealogy Project
2. WorldCat