# Piyush Rai

> Ph.D. University of Utah 2013

**Wikidata**: [Q102669875](https://www.wikidata.org/wiki/Q102669875)  
**Source**: https://4ort.xyz/entity/piyush-rai

## Summary
Piyush Rai is a computer scientist who earned his Ph.D. from the University of Utah in 2013 under the supervision of Hal Daumé III. He is currently affiliated with the Indian Institute of Technology Kanpur where he contributes to the field of computer science research.

## Biography
- Born: Not available in source material
- Nationality: Not explicitly stated (affiliated with Indian Institute of Technology Kanpur)
- Education: Ph.D., University of Utah (2013)
- Known for: Computer science research, advised by Hal Daumé III
- Employer(s): Indian Institute of Technology Kanpur
- Field(s): Computer science

## Contributions
Piyush Rai has contributed to the field of computer science through his academic work. He has published research under his Google Scholar author ID (D50grEgAAAAJ) and is listed in the Mathematics Genealogy Project under ID 217725. His research appears to be in the area of computational linguistics, following his advisor's field of expertise. Rai is active in the academic community, maintaining a presence on Twitter (@praiml) as of 2017, and has been recognized through his affiliation with a leading technical institution in India.

## FAQs
### Q: Where did Piyush Rai earn his Ph.D.?
A: Piyush Rai earned his Ph.D. from the University of Utah in 2013.

### Q: Who was Piyush Rai's doctoral advisor?
A: Piyush Rai's doctoral advisor was Hal Daumé III, a computational linguist and computer scientist at the University of Maryland.

### Q: Where does Piyush Rai work?
A: Piyush Rai is affiliated with the Indian Institute of Technology Kanpur.

### Q: What is Piyush Rai's area of research?
A: While not explicitly stated, his research appears to be related to computational linguistics, based on his advisor's field of expertise.

## Why They Matter
Piyush Rai represents an important connection between academic research institutions in the United States and India. His journey from the University of Utah to the Indian Institute of Technology Kanpur demonstrates the international nature of computer science research and education. As a Ph.D. graduate and researcher, he contributes to the growing computational science ecosystem in India and potentially influences future researchers through his position at IIT Kanpur. His work, while not detailed in the provided sources, likely contributes to the broader field of computer science, particularly in areas related to machine learning and natural language processing, based on his academic lineage.

## Notable For
- Earned a Ph.D. in Computer Science from the University of Utah in 2013
- Was advised by notable computational linguist and computer scientist Hal Daumé III
- Currently affiliated with Indian Institute of Technology Kanpur, a premier technical institution in India
- Maintains academic presence with Google Scholar and Mathematics Genealogy Project profiles
- Active on Twitter since at least 2017 under the handle @praiml

## Body
### Academic Background
Piyush Rai completed his Ph.D. at the University of Utah in 2013. His doctoral advisor was Hal Daumé III, a prominent figure in both computational linguistics and computer science. This academic connection places Rai in a research lineage that includes expertise in computational approaches to language and machine learning.

### Professional Affiliation
Rai is affiliated with the Indian Institute of Technology Kanpur, one of India's premier technical institutions. This affiliation suggests a continuing engagement with academic research and education in computer science within the Indian context.

### Academic Presence
Rai maintains a presence in academic databases and social media:
- Google Scholar author ID: D50grEgAAAAJ
- Mathematics Genealogy Project ID: 217725
- Twitter handle: praiml (active since at least July 2017)

### Research Focus
While specific research details are not provided in the source material, Rai's academic advisor's specialization in computational linguistics suggests that Rai may also have contributed to this field or related areas of computer science such as machine learning, natural language processing, or artificial intelligence. This inference is based on the academic relationship but remains without explicit confirmation from the provided sources.

## References

1. Mathematics Genealogy Project
2. [Source](https://www.cse.iitk.ac.in/users/piyush/)