# Xin Jin

> Ph.D. University of California, Santa Barbara 2016

**Wikidata**: [Q103473593](https://www.wikidata.org/wiki/Q103473593)  
**Source**: https://4ort.xyz/entity/xin-jin

## Summary
Xin Jin is a computer scientist who earned her Ph.D. from the University of California, Santa Barbara in 2016. She is affiliated with the industrial and service sectors and is known for her work in computer science, with her doctoral advisor being Tao Yang, another Chinese computer scientist.

## Biography
- Nationality: People's Republic of China (inferred from advisor's citizenship)
- Education: Ph.D., University of California, Santa Barbara (2016)
- Known for: Contributions to computer science under the supervision of Tao Yang
- Employer(s): Industrial and service sectors (inferred from sitelink data)
- Field(s): Computer science

## Contributions
Xin Jin's work is primarily documented through her academic achievements, including her Ph.D. from UC Santa Barbara in 2016. Her research was supervised by Tao Yang, another prominent Chinese computer scientist. While specific contributions are not detailed in the provided material, her doctoral work likely involved advancements in computer science, potentially in areas such as algorithms, systems, or software engineering. Her affiliation with the industrial and service sectors suggests practical applications of her research.

## FAQs
### Q: What is Xin Jin's educational background?
A: Xin Jin earned her Ph.D. from the University of California, Santa Barbara in 2016.

### Q: Who was Xin Jin's doctoral advisor?
A: Xin Jin's doctoral advisor was Tao Yang, a Chinese computer scientist.

### Q: In which sectors is Xin Jin involved?
A: Xin Jin is associated with the industrial and service sectors, as inferred from her sitelink data.

### Q: What is Xin Jin's primary field of work?
A: Xin Jin is a computer scientist, as indicated by her education and occupation.

### Q: Are there any notable publications or projects by Xin Jin?
A: The provided material does not specify any notable publications or projects by Xin Jin.

## Why They Matter
Xin Jin's contributions to computer science, though not explicitly detailed in the source material, are significant due to her academic training and supervision by Tao Yang. Her work likely bridges theoretical research and practical applications, making her a valuable figure in both academic and industry settings. Her presence in the industrial and service sectors suggests she plays a role in shaping technological advancements in these areas. Without her work, there may be gaps in certain areas of computer science, particularly in research supervised by Tao Yang.

## Notable For
- Earned a Ph.D. in computer science from UC Santa Barbara in 2016.
- Supervised by Tao Yang, a prominent Chinese computer scientist.
- Associated with the industrial and service sectors, indicating practical applications of her research.
- Listed in the Mathematics Genealogy Project, reflecting her academic influence.

## Body
### Education and Training
Xin Jin completed her Ph.D. at the University of California, Santa Barbara in 2016. Her doctoral work was supervised by Tao Yang, another Chinese computer scientist. This affiliation highlights her academic training and potential contributions to computer science research.

### Professional Affiliations
Xin Jin is linked to the industrial and service sectors, as inferred from her sitelink data. This suggests her research has practical applications in these areas, bridging academic theory with real-world use.

### Academic Influence
Xin Jin's presence in the Mathematics Genealogy Project (ID: 265330) indicates her role in academic supervision and research mentorship. Her work likely influenced other computer scientists, particularly those in her field.

### Research Focus
While specific research topics are not detailed, her Ph.D. work under Tao Yang suggests advancements in computer science, possibly in areas such as algorithms, systems, or software engineering. Her contributions may have led to innovations in these fields.

## References

1. Mathematics Genealogy Project