# Robert Corey Gens

> PhD, University of Washington, Computer Science & Engineering, 2016

**Wikidata**: [Q113667720](https://www.wikidata.org/wiki/Q113667720)  
**Source**: https://4ort.xyz/entity/robert-corey-gens

## Summary
Robert Corey Gens is a computer scientist who earned his PhD in Computer Science & Engineering from the University of Washington in 2016. He is known for his work in machine learning and computer vision, particularly under the supervision of Pedro Domingos. His academic thesis, *Learning Robust Tractable Models for Vision*, reflects his contributions to the field.

## Biography
- Born: [date and place not specified]
- Nationality: [not specified]
- Education: PhD in Computer Science & Engineering, University of Washington (2016)
- Known for: Research in machine learning and computer vision, particularly under Pedro Domingos
- Employer(s): [not specified]
- Field(s): Computer science, machine learning

## Contributions
Robert Corey Gens' academic work focuses on developing robust tractable models for vision, as outlined in his doctoral thesis. His research, supervised by Pedro Domingos, contributes to the intersection of computer science and artificial intelligence. While specific publications or industry applications are not detailed in the provided material, his work aligns with broader advancements in machine learning and computer vision. His thesis likely explores methodologies to improve the accuracy and efficiency of vision-based models, which could have implications for applications in autonomous systems, image recognition, and related fields.

## FAQs
### Q: What is Robert Corey Gens known for?
A: Robert Corey Gens is known for his PhD research in computer science and engineering, particularly under Pedro Domingos, focusing on developing robust tractable models for vision.

### Q: Where did Robert Corey Gens earn his PhD?
A: Robert Corey Gens earned his PhD in Computer Science & Engineering from the University of Washington in 2016.

### Q: Who was Robert Corey Gens' doctoral advisor?
A: Pedro Domingos was Robert Corey Gens' doctoral advisor.

### Q: What was the title of Robert Corey Gens' academic thesis?
A: The title of Robert Corey Gens' academic thesis was *Learning Robust Tractable Models for Vision*.

## Why They Matter
Robert Corey Gens' contributions to machine learning and computer vision, as reflected in his doctoral work, demonstrate the importance of supervised research in advancing the field. His thesis likely addresses challenges in model robustness and tractability, which are critical for real-world applications. While his specific impact is not detailed in the provided material, his work aligns with broader efforts to improve the reliability and efficiency of vision-based systems. His research could influence future developments in areas such as autonomous systems, medical imaging, and industrial automation, where accurate and efficient vision models are essential.

## Notable For
- Earned a PhD in Computer Science & Engineering from the University of Washington (2016)
- Conducted research under the supervision of Pedro Domingos
- Authored the thesis *Learning Robust Tractable Models for Vision*
- Contributed to the intersection of computer science and artificial intelligence

## Body
### Education and Research
Robert Corey Gens completed his PhD in Computer Science & Engineering at the University of Washington in 2016. His doctoral work was supervised by Pedro Domingos, a professor of machine learning. The title of his thesis was *Learning Robust Tractable Models for Vision*, which focused on developing models that balance robustness and computational efficiency in vision tasks.

### Academic Contributions
While specific publications or industry applications are not detailed in the provided material, Robert Corey Gens' research aligns with broader advancements in machine learning and computer vision. His work likely explores methodologies to improve the accuracy and efficiency of vision-based models, which could have implications for applications in autonomous systems, image recognition, and related fields.

### Influence and Legacy
Robert Corey Gens' contributions to machine learning and computer vision demonstrate the importance of supervised research in advancing the field. His thesis likely addresses challenges in model robustness and tractability, which are critical for real-world applications. His work could influence future developments in areas such as autonomous systems, medical imaging, and industrial automation, where accurate and efficient vision models are essential.

## References

1. WorldCat