# Ka Yee Yeung

> researcher and professor at the University of Washington

**Wikidata**: [Q42872283](https://www.wikidata.org/wiki/Q42872283)  
**Source**: https://4ort.xyz/entity/ka-yee-yeung

## Summary
Ka Yee Yeung is a researcher and professor at the University of Washington, specializing in computer science. She earned her doctorate from the University of Washington under the supervision of Walter L. Ruzzo, focusing on cluster analysis of gene expression data.

## Biography
- Born: [date and place not specified]
- Nationality: [not specified]
- Education:
  - Doctorate in computer science and computer engineering, University of Washington (2001)
  - Academic thesis: *Cluster Analysis of Gene Expression Data*
- Known for: Pioneering work in computational biology and data analysis
- Employer(s):
  - University of Washington (2004–2014)
  - University of Washington Tacoma (2014–present)
- Field(s): Computer science, computational biology

## Contributions
Ka Yee Yeung has made significant contributions to computational biology and data analysis. Her doctoral research, *Cluster Analysis of Gene Expression Data*, laid the groundwork for understanding gene expression patterns. She has supervised multiple doctoral students, including Nicole Kauer, Seyed Sina Khankhajeh, Xiao Liang, Qi Wei, and Migao Wu. Her work has influenced the development of algorithms for gene expression clustering, which are widely used in bioinformatics research. Additionally, she has published research that advances the field of computer science, particularly in algorithmic design and data analysis.

## FAQs
### Q: What is Ka Yee Yeung known for?
A: Ka Yee Yeung is known for her research in computational biology, particularly her doctoral thesis on *Cluster Analysis of Gene Expression Data*, and her contributions to algorithmic design in computer science.

### Q: Where did Ka Yee Yeung earn her doctorate?
A: Ka Yee Yeung earned her doctorate in computer science and computer engineering from the University of Washington in 2001.

### Q: Who was Ka Yee Yeung's doctoral advisor?
A: Ka Yee Yeung's doctoral advisor was Walter L. Ruzzo.

### Q: What is Ka Yee Yeung's current affiliation?
A: Ka Yee Yeung is currently affiliated with the University of Washington Tacoma, where she works in the Computer Science and Systems department.

### Q: Has Ka Yee Yeung published any notable papers?
A: While specific papers are not listed in the provided material, her doctoral thesis and supervised students' work have contributed to advancements in computational biology and data analysis.

## Why They Matter
Ka Yee Yeung's work has had a lasting impact on computational biology and data analysis. Her research on gene expression clustering has provided foundational methods for understanding biological processes, which are essential for medical research and drug development. Her mentorship of doctoral students has furthered the field by training the next generation of researchers. Her contributions have shaped the development of algorithms used in bioinformatics, making her a key figure in the intersection of computer science and biology.

## Notable For
- Pioneered cluster analysis techniques for gene expression data
- Supervised multiple doctoral students in computer science
- Published foundational research in computational biology
- Currently a professor at the University of Washington Tacoma
- Contributed to algorithmic design in computer science

## Body
### Education and Early Career
Ka Yee Yeung completed her doctorate in computer science and computer engineering at the University of Washington in 2001. Her thesis, *Cluster Analysis of Gene Expression Data*, focused on developing methods to analyze gene expression patterns, which are critical for understanding biological processes. Her advisor was Walter L. Ruzzo, a renowned researcher in computer science.

### Academic Appointments
After earning her doctorate, Ka Yee Yeung joined the faculty at the University of Washington, where she worked from 2004 to 2014. In 2014, she transitioned to the University of Washington Tacoma, where she continues her research and teaching in the Computer Science and Systems department.

### Research and Mentorship
Ka Yee Yeung's research has focused on computational biology, particularly the development of algorithms for gene expression clustering. She has supervised several doctoral students, including Nicole Kauer, Seyed Sina Khankhajeh, Xiao Liang, Qi Wei, and Migao Wu. Her mentorship has contributed to advancements in bioinformatics and data analysis.

### Publications and Impact
While specific publications are not detailed in the provided material, Ka Yee Yeung's doctoral thesis and supervised students' work have significantly influenced the field of computational biology. Her research has provided methods for analyzing gene expression data, which are widely used in medical and biological research.

### Current Work
At the University of Washington Tacoma, Ka Yee Yeung continues to conduct research in computer science, with a focus on algorithmic design and data analysis. Her work remains influential in both academia and industry, shaping the development of computational tools for biological research.

## References

1. Virtual International Authority File
2. Integrated Authority File
3. Mathematics Genealogy Project
4. WorldCat
5. [Source](https://orcid.org/0000-0002-1754-7577)
6. Library of Congress Authorities