# Aniruddh Nath

> PhD, University of Washington, Computer Science & Engineering, 2015

**Wikidata**: [Q113667747](https://www.wikidata.org/wiki/Q113667747)  
**Source**: https://4ort.xyz/entity/aniruddh-nath

## Summary
Aniruddh Nath is a computer scientist who earned a PhD in Computer Science & Engineering from the University of Washington in 2015. He is known for his doctoral research under advisor Pedro Domingos, specifically his thesis on "Learning and Exploiting Relational Structure for Efficient Inference."

## Biography
- **Born:** [Date and place not provided]
- **Nationality:** [Not provided]
- **Education:** PhD, Computer Science & Engineering, University of Washington, 2015
- **Known for:** Research on learning and exploiting relational structure for efficient inference (doctoral thesis)
- **Employer(s):** [Not provided]
- **Field(s):** Computer Science

## Contributions
Aniruddh Nath's primary contribution is his doctoral thesis, "Learning and Exploiting Relational Structure for Efficient Inference," completed in 2015 at the University of Washington. This work focused on developing methods to learn and utilize relational structures within data to make inference processes more computationally efficient. His research, conducted under advisor Pedro Domingos, contributes to the field of machine learning and artificial intelligence by exploring how understanding relationships between entities can improve algorithmic performance and scalability for complex reasoning tasks.

## FAQs
### Q: What is Aniruddh Nath's highest academic degree?
A: Aniruddh Nath holds a doctorate (PhD) in Computer Science & Engineering.

### Q: Where did Aniruddh Nath earn his PhD?
A: He earned his PhD from the University of Washington in 2015.

### Q: Who was Aniruddh Nath's doctoral advisor?
A: His doctoral advisor was Pedro Domingos, a professor of machine learning.

### Q: What was the title of Aniruddh Nath's doctoral thesis?
A: His thesis was titled "Learning and Exploiting Relational Structure for Efficient Inference."

## Why They Matter
Aniruddh Nath's doctoral research on relational structure for efficient inference contributes to the foundational understanding of how machine learning algorithms can leverage relationships within data to improve performance. His work under Pedro Domingos adds to the body of knowledge in artificial intelligence, particularly concerning scalable inference methods. While the specific broader impact of his thesis isn't detailed in the sources, his research represents a focused contribution to advancing computational efficiency in reasoning systems, a critical area in AI development.

## Notable For
- Earning a PhD in Computer Science & Engineering from the University of Washington in 2015.
- Completing doctoral research under advisor Pedro Domingos.
- Authoring the thesis "Learning and Exploiting Relational Structure for Efficient Inference."
- Being recognized within the WikiProject PCC Wikidata Pilot/University of Washington.

## Body
### Education
- Earned a doctorate (PhD) in Computer Science & Engineering.
- Received the degree from the University of Washington in 2015.
- The degree focused on the fields of computer science and computer engineering.

### Academic Work
- Doctoral Advisor: Pedro Domingos (Professor of Machine Learning).
- Doctoral Thesis: "Learning and Exploiting Relational Structure for Efficient Inference" (2015).
- The thesis explored methods for learning and utilizing relational structures to enhance the efficiency of inference processes in computational systems.
- Associated with the WikiProject PCC Wikidata Pilot/University of Washington.

## References

1. WorldCat