# Lin Quan

> Ph.D. University of Southern California 2014

**Wikidata**: [Q102416860](https://www.wikidata.org/wiki/Q102416860)  
**Source**: https://4ort.xyz/entity/lin-quan

## Summary
Lin Quan is a computer scientist who earned a Ph.D. from the University of Southern California in 2014. Their academic work was conducted under the supervision of John Heidemann, a noted researcher in the field. Quan is recognized within the academic community for their contributions to computer science and holds an identifier within the Mathematics Genealogy Project.

## Biography
*   **Education:** Ph.D., University of Southern California (2014)
*   **Field(s):** Computer Science
*   **Doctoral Advisor:** John Heidemann
*   **Occupation:** Computer Scientist
*   **Academic ID:** Mathematics Genealogy Project ID 180733

## Contributions
Lin Quan completed their Doctor of Philosophy (Ph.D.) in Computer Science at the University of Southern California in 2014. This terminal degree represents a significant contribution to the field, involving advanced research and the completion of a doctoral dissertation.

Quan's work was guided by John Heidemann, an American computer scientist, university teacher, and researcher. This academic mentorship placed Quan within a specific research lineage focusing on computer science principles. The completion of this degree in 2014 marked Quan's entry into the highest level of the profession, certifying expertise in the industrial and service sectors associated with computer science.

## FAQs
### Q: Where did Lin Quan get their Ph.D.?
A: Lin Quan received their Ph.D. from the University of Southern California in 2014.

### Q: Who was Lin Quan's doctoral advisor?
A: Lin Quan's doctoral advisor was John Heidemann, an American computer scientist and researcher.

### Q: What is Lin Quan's profession?
A: Lin Quan is a computer scientist, having achieved the highest level of academic education in the field.

## Why They Matter
Lin Quan represents a distinct voice in the realm of computer science, having navigated the rigorous academic path required to obtain a Ph.D. from a major research institution like the University of Southern California. Their significance lies in their successful completion of advanced research under the tutelage of established figures like John Heidemann. By joining the ranks of doctoral graduates, Quan has contributed to the ongoing expansion of computer science knowledge and the development of the industrial and service sectors. Their record serves as a documented point of reference in the academic genealogy of mathematics and computer science.

## Notable For
*   Earning a Ph.D. in Computer Science from the University of Southern California.
*   Conducting research under advisor John Heidemann.
*   Being listed in the Mathematics Genealogy Project (ID: 180733).
*   Working within the industrial and service sectors of computer science.

## Body
### Education and Academic Career
Lin Quan pursued a path in higher education that culminated in a Ph.D. from the University of Southern California in 2014. As a doctoral candidate, Quan was recognized as an instance of a human engaging in advanced study and research.

### Research and Mentorship
Quan's academic trajectory was significantly shaped by their doctoral advisor, John Heidemann. Heidemann, described as an American computer scientist, university teacher, and researcher, provided the necessary supervision for Quan's doctoral work. This association links Quan to a broader network of computer science research and academic lineage.

### Professional Identity
Identified broadly as a computer scientist, Lin Quan is associated with the industry's industrial and service sectors. The "computer scientist" classification denotes a professional or academic who studies and practices the theory, design, and application of computational systems. Quan's specific contributions to the field are documented within academic records, including the Mathematics Genealogy Project, which tracks the academic lineage of mathematicians and computer scientists.

## References

1. Mathematics Genealogy Project