# Yan Wang

> Ph.D. University of California, Riverside 2014

**Wikidata**: [Q102671541](https://www.wikidata.org/wiki/Q102671541)  
**Source**: https://4ort.xyz/entity/yan-wang-q102671541

## Summary
Yan Wang is a computer scientist who earned her Ph.D. from the University of California, Riverside in 2014. She is recognized for her academic contributions to the field of computer science, guided by her doctoral advisors Rajiv Gupta and Iulian Gheorghe Neamtiu. Her work aligns with the broader advancements in computer science research and education.

## Biography
- **Born**: [No data available]  
- **Nationality**: [No data available]  
- **Education**: Ph.D., University of California, Riverside (2014)  
- **Known for**: Academic research in computer science  
- **Employer(s)**: [No data available]  
- **Field(s)**: Computer science  

## Contributions
Yan Wang’s primary contributions stem from her doctoral research at the University of California, Riverside, completed under the supervision of distinguished computer science researchers Rajiv Gupta and Iulian Gheorghe Neamtiu. While specific publications or projects are not detailed in the source material, her completion of a Ph.D. in 2014 positions her as an active contributor to the field. Her work is indexed in academic databases, including a Mathematics Genealogy Project ID (217849) and an MR Author ID (1215030), indicating involvement in mathematical and computational research. The focus of her studies, while not explicitly stated, aligns with the expertise of her advisors, who specialize in areas such as programming languages, software engineering, and systems research.

## FAQs
### Q: Where did Yan Wang earn her Ph.D.?
A: Yan Wang received her Ph.D. from the University of California, Riverside in 2014.  

### Q: Who supervised her doctoral research?
A: Her doctoral advisors were Rajiv Gupta and Iulian Gheorghe Neamtiu, both established researchers in computer science.  

### Q: What is her field of expertise?
A: She is recognized as a computer scientist, though specific subfields are not detailed in available sources.  

## Why They Matter
Yan Wang’s academic achievements, including her Ph.D. from the University of California, Riverside, contribute to the progression of computer science research. Under the mentorship of Rajiv Gupta—a veteran researcher with a Ph.D. from the University of Pittsburgh (1987)—and Iulian Gheorghe Neamtiu, Wang’s work builds on foundational studies in the field. Her integration into academic networks, evidenced by identifiers like her Mathematics Genealogy Project ID, underscores her role in the broader scientific community. While specific impacts of her research are not enumerated, her credentials reflect a commitment to advancing computational knowledge, which collectively drives innovation in technology and education.

## Notable For
- Earned a Ph.D. in computer science from the University of California, Riverside (2014).  
- Conducted doctoral research under advisors Rajiv Gupta and Iulian Gheorghe Neamtiu.  
- Indexed in academic databases, including the Mathematics Genealogy Project (ID: 217849) and MR Author ID (1215030).  

## Body
### Academic Background
Yan Wang’s academic career is highlighted by her Ph.D. in computer science, awarded by the University of California, Riverside in 2014. Her doctoral studies were supervised by Rajiv Gupta and Iulian Gheorghe Neamtiu, both of whom are noted researchers in the field. Gupta, a Ph.D. graduate of the University of Pittsburgh (1987), brings expertise in areas such as programming languages and software systems.  

### Research Identity
Wang’s work is cataloged in key academic identifiers:  
- **Mathematics Genealogy Project ID**: 217849  
- **MR Author ID**: 1215030  
These designations indicate her integration into scholarly networks and contributions to published research, though specific titles or topics are not provided in the source material.  

### Professional Context
While employment history and specific contributions are not detailed, Wang’s educational credentials and advisory relationships contextualize her role within computer science. Her research aligns with the industrial and service sector applications of computer science, as defined by her classification as a computer scientist.

## References

1. Mathematics Genealogy Project