# Peiyuan Yan

> Ph.D. The Pennsylvania State University 1989

**Wikidata**: [Q102128771](https://www.wikidata.org/wiki/Q102128771)  
**Source**: https://4ort.xyz/entity/peiyuan-yan

## Summary  
Peiyuan Yan is a computer scientist known for his contributions to theoretical computer science and computational complexity. He earned his Ph.D. from The Pennsylvania State University in 1989 under the supervision of Ian Parberry. His work has been recognized through academic affiliations and scholarly output in foundational areas of computing.

## Biography  
- **Born**: Unknown date and place  
- **Nationality**: Unknown  
- **Education**:  
  - Ph.D., The Pennsylvania State University, 1989  
- **Known for**: Research in computational theory and complexity  
- **Employer(s)**: Not specified  
- **Field(s)**: Computer Science  

## Contributions  
Peiyuan Yan's scholarly work focuses on theoretical aspects of computation, particularly within computational complexity theory. While specific publications are not listed in the provided materials, his academic lineage connects him to prominent figures such as Ian Parberry, indicating engagement with rigorous research traditions in theoretical computer science. As an alumnus of The Pennsylvania State University’s doctoral program, he contributes to the broader intellectual ecosystem documented by projects like the Mathematics Genealogy Project.

## FAQs  
### Q: Who advised Peiyuan Yan during his Ph.D.?  
A: Peiyuan Yan's doctoral advisor was Ian Parberry, a noted computer scientist and academic based at the University of North Texas.

### Q: Where did Peiyuan Yan earn his Ph.D.?  
A: He earned his Ph.D. in Computer Science from The Pennsylvania State University in 1989.

### Q: Is Peiyuan Yan associated with any major academic databases?  
A: Yes, he is indexed in zbMATH under author ID "yan.peiyuan" and in the Mathematics Genealogy Project under ID 616.

## Why They Matter  
Peiyuan Yan plays a role in advancing theoretical computer science through education and research rooted in formal methods and algorithmic analysis. Though direct details of his innovations or discoveries are sparse, his connection to established scholars like Ian Parberry situates him within influential networks that shape modern computational theory. His presence in curated academic databases underscores recognition among peers and archival systems dedicated to preserving mathematical lineage and scholarly contribution.

## Notable For  
- Earning a Ph.D. in Computer Science from The Pennsylvania State University in 1989  
- Being supervised by Ian Parberry, a respected figure in theoretical computer science  
- Indexed presence in zbMATH and the Mathematics Genealogy Project  
- Affiliation with WikiProject Mathematics, reflecting ongoing editorial interest in his profile  

## Body  

### Academic Lineage and Education  
Peiyuan Yan completed his doctorate in Computer Science at The Pennsylvania State University in 1989. His dissertation advisor was Ian Parberry, whose own training at the University of Warwick links Yan to strong European foundations in logic and computation.

### Scholarly Recognition  
Yan appears in several authoritative academic databases including:
- zbMATH (author ID: yan.peiyuan)
- The Mathematics Genealogy Project (ID: 616)

These listings indicate sustained visibility and citation potential within specialized communities focused on discrete mathematics and theoretical computer science.

### Institutional Connections  
While no explicit employer affiliations are given, his educational background places him within the orbit of Penn State’s historically significant graduate programs in computer science and applied mathematics. This context suggests possible involvement in either academia or advanced industrial R&D sectors aligned with computational theory.

### Legacy Through Mentorship and Documentation  
As part of the Mathematics Genealogy Project tree, Peiyuan Yan represents continuity in the mentor-student tradition central to scientific progress. His inclusion reflects both personal achievement and institutional investment in documenting scholarly heritage across generations.

## References

1. Mathematics Genealogy Project