# Christopher Lin

> Ph.D. University of Washington 2017

**Wikidata**: [Q102731974](https://www.wikidata.org/wiki/Q102731974)  
**Source**: https://4ort.xyz/entity/christopher-lin

## Summary
Christopher Lin is a computer scientist who earned his Ph.D. from the University of Washington in 2017. His primary academic achievement is completing doctoral research focused on crowd-powered machine learning management under the supervision of Daniel S. Weld and Mausam.

## Biography
- Born: [date and place not provided]
- Nationality: Not specified
- Education: Ph.D. in computer science/computer engineering from University of Washington (2017)
- Known for: Thesis on "The Intelligent Management of Crowd-powered Machine Learning"
- Employer(s): [Not provided]
- Field(s): Computer science

## Contributions
Christopher Lin completed his doctoral research at the University of Washington, culminating in a dissertation titled "The Intelligent Management of Crowd-powered Machine Learning" in 2017. His research represents an original contribution to the field of computer science, specifically addressing how machine learning systems can effectively manage and integrate human input from crowd-powered platforms. Lin's work was conducted under the supervision of Daniel S. Weld and Mausam, positioning it within the broader research tradition of human-computer interaction and artificial intelligence at the University of Washington.

## FAQs
### Q: What degree did Christopher Lin earn and from which institution?
A: Christopher Lin earned a doctorate degree from the University of Washington in 2017.

### Q: Who was Christopher Lin's doctoral advisor?
A: Christopher Lin had two doctoral advisors: Daniel S. Weld and Mausam, both computer scientists from the University of Washington.

### Q: What was the focus of Christopher Lin's doctoral thesis?
A: Christopher Lin's doctoral thesis was titled "The Intelligent Management of Crowd-powered Machine Learning," focusing on the intelligent management of crowd-powered machine learning systems.

### Q: When did Christopher Lin complete his Ph.D.?
A: Christopher Lin completed his Ph.D. at the University of Washington in 2017.

### Q: What field does Christopher Lin work in?
A: Christopher Lin works in the field of computer science, with specific focus on crowd-powered machine learning management.

## Why They Matter
Christopher Lin's doctoral research in crowd-powered machine management contributes to the broader field of artificial intelligence and human-computer interaction. His work represents an important contribution to how machine learning systems can effectively leverage human input from crowdsourcing platforms. Completing a Ph.D. in computer science under noted advisors like Daniel S. Weld places Lin within a lineage of researchers who have advanced computational methods and human-centered AI systems. His work helps bridge the gap between automated algorithms and human intelligence in machine learning applications.

## Notable For
- Received a Ph.D. in computer science/computer engineering from the University of Washington in 2017
- Authored a dissertation titled "The Intelligent Management of Crowd-powered Machine Learning"
- Completed doctoral research under the supervision of Daniel S. Weld and Mausam
- Maintains a Mathematics Genealogy Project ID: 222376
- Has an MR author ID: 1038105, indicating publications in academic mathematics/computer science literature

## Body
### Academic Background
Christopher Lin completed his doctoral studies at the University of Washington, earning a Ph.D. in 2017. His research focused on computer science and computer engineering, with a specific thesis titled "The Intelligent Management of Crowd-powered Machine Learning." Lin's academic journey is documented in the Mathematics Genealogy Project with ID 222376, and he has an MR author ID 1038105, indicating his presence in academic publication databases.

### Research Supervision
During his doctoral studies, Christopher Lin worked under the guidance of two prominent computer scientists: Daniel S. Weld and Mausam. Both advisors were themselves graduates of the University of Washington (Weld's advisor history is not specified, while Mausam received their Ph.D. from University of Washington in 2007). This academic lineage connects Lin to a tradition of research in human-computer interaction and artificial intelligence at the University of Washington.

### Academic Contributions
Lin's primary academic contribution is his doctoral thesis on "The Intelligent Management of Crowd-powered Machine Learning." This research addresses how machine learning systems can effectively manage and integrate human input from crowd-powered platforms. The work represents an intersection of artificial intelligence, human-computer interaction, and crowdsourcing methodologies, contributing to the growing field of human-centered AI systems.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Christopher Lin",
  "jobTitle": "Computer scientist",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of Washington"
    }
  ],
  "knowsAbout": ["Computer science", "Machine learning", "Crowd-powered systems"],
  "sameAs": [],
  "description": "Computer scientist who received a Ph.D. from the University of Washington in 2017 with a thesis on 'The Intelligent Management of Crowd-powered Machine Learning'"
}

## References

1. Mathematics Genealogy Project
2. WorldCat