# Sunita Sarawagi

> Indian computer scientist

**Wikidata**: [Q102261851](https://www.wikidata.org/wiki/Q102261851)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Sunita_Sarawagi)  
**Source**: https://4ort.xyz/entity/sunita-sarawagi

## Summary
Sunita Sarawagi is an Indian computer scientist known for her contributions to statistical machine learning, particularly in information analysis, extraction, and integration. She is an ACM Fellow and was recognized for her work in advancing these areas. Her academic background includes education at the University of California, Berkeley, and her research has influenced the field of data-driven computing.

## Biography
- Nationality: India
- Education: University of California, Berkeley
- Known for: Pioneering work in statistical machine learning for information analysis and integration
- Field(s): Computer science, machine learning
- Doctoral advisor: Michael Stonebraker
- Doctoral students: Shantanu Godbole, Rahul Gupta

## Contributions
Sunita Sarawagi has made significant contributions to the field of computer science, particularly in statistical machine learning. Her work has focused on developing methods for information analysis, extraction, and integration, which are crucial for modern data-driven applications. As an ACM Fellow, she was recognized for her groundbreaking research in these areas. Her academic achievements, including her education at the University of California, Berkeley, and her mentorship of doctoral students, have further solidified her impact on the field.

## FAQs
### Q: What is Sunita Sarawagi known for?
A: Sunita Sarawagi is known for her contributions to statistical machine learning, particularly in information analysis, extraction, and integration. She is an ACM Fellow recognized for her work in these areas.

### Q: Where did Sunita Sarawagi receive her education?
A: Sunita Sarawagi received her education at the University of California, Berkeley.

### Q: Who were Sunita Sarawagi's doctoral students?
A: Sunita Sarawagi's doctoral students include Shantanu Godbole and Rahul Gupta.

### Q: What is Sunita Sarawagi's academic background?
A: Sunita Sarawagi was educated at the University of California, Berkeley, and her doctoral advisor was Michael Stonebraker.

### Q: What awards has Sunita Sarawagi received?
A: Sunita Sarawagi is an ACM Fellow, recognized for her contributions to statistical machine learning for information analysis, extraction, and integration.

## Why They Matter
Sunita Sarawagi's work in statistical machine learning has had a significant impact on the field of computer science. Her research in information analysis, extraction, and integration has advanced the capabilities of data-driven applications, making them more efficient and effective. As an ACM Fellow, she has been recognized for her groundbreaking contributions, which have influenced both academia and industry. Her mentorship of doctoral students has also played a crucial role in shaping the next generation of computer scientists.

## Notable For
- ACM Fellow (2022) for contributions to statistical machine learning
- Pioneering research in information analysis and integration
- Education at the University of California, Berkeley
- Mentorship of doctoral students Shantanu Godbole and Rahul Gupta
- Recognition for her work in advancing data-driven computing

## Body
### Education and Mentorship
Sunita Sarawagi completed her education at the University of California, Berkeley, where she was mentored by Michael Stonebraker. Her academic background has been instrumental in her research contributions. She has also mentored several doctoral students, including Shantanu Godbole and Rahul Gupta, who have carried forward her work in the field.

### Research Contributions
Sunita Sarawagi's research focuses on statistical machine learning, particularly in information analysis, extraction, and integration. Her work has been recognized by the Association for Computing Machinery (ACM) as a Fellow, highlighting the significance of her contributions to the field. Her research has advanced the capabilities of data-driven applications, making them more efficient and effective.

### Recognition and Impact
As an ACM Fellow, Sunita Sarawagi has been recognized for her groundbreaking work in statistical machine learning. Her research has influenced both academia and industry, advancing the field of data-driven computing. Her mentorship and academic achievements have further solidified her impact on the field of computer science.

## References

1. Mathematics Genealogy Project
2. [Source](https://www.acm.org/media-center/2022/january/fellows-2021)