# Thomas Lin

> Ph.D. University of Washington 2012

**Wikidata**: [Q102402789](https://www.wikidata.org/wiki/Q102402789)  
**Source**: https://4ort.xyz/entity/thomas-lin

## Summary
Thomas Lin is a male computer scientist who earned his Ph.D. from the University of Washington in 2012. He completed his doctoral research on leveraging knowledge bases in web text processing under the supervision of advisors Oren Etzioni and Mausam.

## Biography
- Born: 1981
- Nationality: Not explicitly mentioned in source material
- Education: Ph.D. in computer science/computer engineering from University of Washington (2012)
- Known for: Research on leveraging knowledge bases in web text processing
- Employer(s): Not explicitly mentioned in source material
- Field(s): Computer science

## Contributions
Thomas Lin's primary contribution is his doctoral research on "Leveraging Knowledge Bases in Web Text Processing" completed in 2012 at the University of Washington. This work focused on improving how computers extract and utilize structured knowledge from unstructured web text, addressing a fundamental challenge in artificial intelligence and natural language processing. His dissertation represents original research in the field of knowledge extraction, potentially contributing to the development of more intelligent systems capable of understanding and processing textual information from the web more effectively.

## FAQs
### Q: When did Thomas Lin earn his Ph.D.?
A: Thomas Lin earned his Ph.D. from the University of Washington in 2012.

### Q: Who was Thomas Lin's doctoral advisor?
A: Thomas Lin was advised by both Oren Etzioni and Mausam during his doctoral studies at the University of Washington.

### Q: What was the focus of Thomas Lin's dissertation?
A: Thomas Lin's dissertation was titled "Leveraging Knowledge Bases in Web Text Processing," focusing on knowledge extraction techniques from web-based text.

### Q: Is Thomas Lin associated with any notable academic projects?
A: Thomas Lin has an entry in the Mathematics Genealogy Project (ID: 168138) and was part of the WikiProject PCC Wikidata Pilot for the University of Washington.

## Why They Matter
Thomas Lin's research on leveraging knowledge bases in web text processing contributes to the fundamental field of knowledge extraction and natural language processing. His work helps bridge the gap between unstructured text and structured knowledge, which is essential for building more intelligent AI systems. By improving how computers understand and utilize information from the web, Lin's research potentially enables better search engines, question-answering systems, and knowledge management tools that can process and learn from human-generated text more effectively.

## Notable For
- Earned a Ph.D. in computer science/computer engineering from University of Washington in 2012
- Authored dissertation "Leveraging Knowledge Bases in Web Text Processing"
- Listed in Mathematics Genealogy Project (ID: 168138)
- Part of WikiProject PCC Wikidata Pilot/University of Washington
- Studied under notable computer scientists Oren Etzioni and Mausam

## Body
### Early Life and Background
- Born in 1981
- Identified as male in source materials

### Academic Career
- Earned Ph.D. from University of Washington in 2012
- Specialized in computer science and computer engineering
- Doctoral research focused on knowledge bases and web text processing

### Research Focus
- Primary research area: Knowledge extraction from web text
- Dissertation titled "Leveraging Knowledge Bases in Web Text Processing"
- Work potentially contributes to AI and natural language processing fields

### Academic Supervision
- Doctoral advisors included Oren Etzioni and Mausam
- Both advisors are established computer scientists with University of Washington connections
- Mausam also earned Ph.D. from University of Washington (2007)

### Academic Recognition
- Entry in Mathematics Genealogy Project (ID: 168138)
- Participation in WikiProject PCC Wikidata Pilot for University of Washington
- Part of specialized academic initiatives focused on knowledge organization

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Thomas Lin",
  "jobTitle": "Computer Scientist",
  "birthDate": "1981",
  "alumniOf": [{"@type": "EducationalOrganization", "name": "University of Washington"}],
  "knowsAbout": ["Computer Science", "Knowledge Bases", "Web Text Processing"],
  "sameAs": [],
  "description": "Computer scientist who earned his Ph.D. from the University of Washington in 2012 with research focusing on leveraging knowledge bases in web text processing."
}

## References

1. Mathematics Genealogy Project
2. WorldCat