# Cong Yan

> PhD, University of Washington, Computer Science & Engineering, 2020

**Wikidata**: [Q113667847](https://www.wikidata.org/wiki/Q113667847)  
**Source**: https://4ort.xyz/entity/cong-yan

## Summary
Cong Yan is a computer scientist who earned her PhD in Computer Science & Engineering from the University of Washington in 2020. She is known for her research on improving database-backed applications, under the supervision of Alvin Cheung.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education: PhD in Computer Science & Engineering, University of Washington (2020)
- Known for: Research on database-backed applications
- Employer(s): [Not specified]
- Field(s): Computer science, database systems

## Contributions
Cong Yan's doctoral work, titled *Understanding and Improving Database-backed Applications*, was supervised by Alvin Cheung. Her research focused on advancing the efficiency and performance of applications that rely on databases. While specific contributions are not detailed in the provided material, her work aligns with broader efforts in optimizing database-backed systems, which are critical for modern software applications. Her thesis represents a key academic contribution to the field, though further details on her specific findings or publications are not available in the given data.

## FAQs
### Q: What is Cong Yan known for?
A: Cong Yan is known for her PhD research on improving database-backed applications, completed at the University of Washington in 2020 under the supervision of Alvin Cheung.

### Q: Where did Cong Yan earn her PhD?
A: Cong Yan earned her PhD in Computer Science & Engineering from the University of Washington in 2020.

### Q: Who was Cong Yan's doctoral advisor?
A: Cong Yan's doctoral advisor was Alvin Cheung.

### Q: What was the title of Cong Yan's thesis?
A: The title of Cong Yan's thesis was *Understanding and Improving Database-backed Applications*.

## Why They Matter
Cong Yan's work on database-backed applications contributes to the broader field of computer science by addressing challenges in system performance and efficiency. Her research helps advance the design of applications that rely on databases, which are fundamental to many industries. While her specific impact is not detailed in the provided material, her thesis represents a significant academic effort in optimizing database interactions, which can influence future software development practices. Her work aligns with ongoing efforts to improve the scalability and responsiveness of database-driven systems, making it a valuable contribution to the field.

## Notable For
- Earned a PhD in Computer Science & Engineering from the University of Washington (2020).
- Conducted research on database-backed applications under the guidance of Alvin Cheung.
- Authored the thesis *Understanding and Improving Database-backed Applications*.

## Body
### Education
Cong Yan completed her PhD in Computer Science & Engineering at the University of Washington in 2020. Her doctoral research was supervised by Alvin Cheung, and her thesis focused on improving the performance of database-backed applications.

### Research Focus
Her work centered on understanding and enhancing the efficiency of applications that rely on databases. While specific contributions are not detailed in the provided material, her research aligns with broader efforts in optimizing database interactions, which are critical for modern software systems.

### Thesis
Cong Yan's thesis, *Understanding and Improving Database-backed Applications*, represents a key academic contribution to the field. The work addresses challenges in system performance and efficiency, providing insights that can influence future developments in database-driven applications.

## References

1. WorldCat