# Nihar Shah

> Ph.D. University of California, Berkeley 2017

**Wikidata**: [Q102995206](https://www.wikidata.org/wiki/Q102995206)  
**Source**: https://4ort.xyz/entity/nihar-shah

## Summary
Nihar Shah is a computer scientist who earned his Ph.D. from the University of California, Berkeley in 2017. His primary identity is as an academic researcher, though specific contributions or roles beyond his doctoral work are not detailed in the provided source material. He was advised by notable scholars Martin J. Wainwright and Kannan Ramchandran.

## Biography
- Born: [No data available]
- Nationality: [No data available]
- Education: Ph.D., University of California, Berkeley (2017)
- Known for: Academic research in computer science under advisors Martin J. Wainwright and Kannan Ramchandran
- Employer(s): [No data available]
- Field(s): Computer science

## Contributions
Nihar Shah’s academic work culminated in a Ph.D. from the University of California, Berkeley in 2017, supervised by Martin J. Wainwright and Kannan Ramchandran. While specific publications, projects, or patents are not enumerated in the provided source material, his doctoral research aligns with the expertise of his advisors, who are recognized for contributions to information theory, statistical signal processing, and machine learning. As of the available data, Shah’s Google Scholar profile (ID: BF39lMQAAAAJ) and Mathematics Genealogy Project entry (ID: 238873) serve as references for his scholarly activity. Further details about his research focus or outputs are not included in the source material.

## FAQs
### Q: Where did Nihar Shah earn his Ph.D.?
A: Nihar Shah earned his Ph.D. from the University of California, Berkeley in 2017.

### Q: Who were Nihar Shah’s doctoral advisors?
A: His doctoral advisors were Martin J. Wainwright and Kannan Ramchandran.

### Q: What is Nihar Shah known for?
A: He is known for his academic work in computer science, though specific contributions require further research beyond the provided source material.

## Why They Matter
Nihar Shah’s significance stems from his academic credentials and training under distinguished advisors in computer science. His doctoral work at UC Berkeley, a leading institution in the field, positions him within a lineage of researchers advancing areas such as information theory and statistical signal processing. While the provided data does not specify his individual contributions, his affiliation with notable scholars and inclusion in academic databases (e.g., Google Scholar, Mathematics Genealogy Project) indicate engagement with the research community. Without his work, the academic landscape in his advisors’ research domains might lack incremental progress, though explicit impacts are not detailed here.

## Notable For
- Earned a Ph.D. in computer science from the University of California, Berkeley (2017).
- Advised by Martin J. Wainwright and Kannan Ramchandran, both prominent researchers in their fields.
- Identified in academic databases, including Google Scholar (ID: BF39lMQAAAAJ) and the Mathematics Genealogy Project (ID: 238873).

## Body
### Academic Career
Nihar Shah completed his Ph.D. in computer science at the University of California, Berkeley in 2017. His doctoral advisors were Martin J. Wainwright, known for work in statistical signal processing and machine learning, and Kannan Ramchandran, recognized for contributions to information theory and coding. This supervision suggests Shah’s research may intersect with these domains, though specific topics are not provided.

### Professional Affiliations
The source material does not specify Shah’s employers or institutional affiliations beyond his doctoral studies at UC Berkeley.

### Research Focus
While the exact nature of Shah’s research is not detailed in the provided data, his advisors’ expertise implies potential engagement with theoretical and applied aspects of computer science, including information theory, signal processing, or machine learning. Further specifics would require consultation of his published works or academic profiles.

## References

1. Mathematics Genealogy Project