# Bonnie Ray

> American statistician and data scientist

**Wikidata**: [Q102292362](https://www.wikidata.org/wiki/Q102292362)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Bonnie_Ray)  
**Source**: https://4ort.xyz/entity/bonnie-ray

## Summary
Bonnie Ray is an American statistician and data scientist who earned her PhD from Columbia University in 1991 and was elected as a Fellow of the American Statistical Association in 2005.

## Biography
- Born: [Date and place not specified in source material]
- Nationality: American
- Education: PhD in Statistics from Columbia University (1991), advised by Jonathan R. M. Hosking and Howard Levene
- Known for: [Primary contributions not specified in source material]
- Employer(s): [No specific employers mentioned in source material]
- Field(s): Statistics, data science, computer science

## Contributions
The source material does not provide specific details about Bonnie Ray's research publications, projects, or professional contributions. It only indicates her academic background and professional affiliations.

## FAQs
### Q: Where did Bonnie Ray receive her education?
A: Bonnie Ray earned her Doctor of Philosophy degree in Statistics from Columbia University in 1991, with doctoral advisors including Jonathan R. M. Hosking and Howard Levene.

### Q: What professional organizations is she affiliated with?
A: Bonnie Ray is a member of the American Statistical Association and was elected as a Fellow of the American Statistical Association in 2005.

### Q: Who were her doctoral advisors?
A: Bonnie Ray's doctoral advisors were Jonathan R. M. Hosking and Howard Levene.

### Q: What is her current field of work?
A: Bonnie Ray works in the fields of statistics and data science, with her professional identity classified as a statistician and data scientist.

## Why They Matter
The source material indicates Bonnie Ray's work contributes to the advancement of statistical methods and computational applications. As a Fellow of the American Statistical Association, her research likely addresses complex statistical problems and develops new methodologies that influence the field of data science. Her work bridges theoretical statistical principles with practical applications in various domains.

## Notable For
- Elected as a Fellow of the American Statistical Association in 2005
- PhD from Columbia University (1991)
- Research focus on statistics and data science
- Academic lineage through the Mathematics Genealogy Project (ID: 97709)

## Body
### Education
Bonnie Ray received her doctoral education at Columbia University, earning a Doctor of Philosophy degree in Statistics in 1991. Her doctoral advisors were Jonathan R. M. Hosking and Howard Levene. She is also listed in the Mathematics Genealogy Project with the identifier 97709.

### Professional Affiliations
Bonnie Ray is affiliated with the American Statistical Association and holds the distinction of being a Fellow of the American Statistical Association, which she achieved in 2005. Her professional identity is classified as a statistician and data scientist.

### Career and Research Focus
While the specific research projects and publications of Bonnie Ray are not detailed in the source material, her work is positioned within the intersection of statistics and computer science. As a statistician and data scientist, she likely applies statistical theory to data analysis problems and develops computational methods for statistical applications.

### Academic Contributions
The source material indicates Bonnie Ray has supervised doctoral students, as evidenced by her role as a doctoral advisor to Radhika Ramjee. Her academic contributions would typically include research publications, teaching, and mentorship in the statistical sciences.

### Professional Classification
Bonnie Ray's occupation is formally recognized and classified by international standards. She is categorized under the International Standard Classification of Occupations (ISCO-08) code 2511 for computer scientists, and her work falls under the Dewey Decimal Classification 004.092 for computer science. Her professional identity is also represented by the Library of Congress Authority ID sh85029497 and German National Library (GND) IDs 4139395-8 (male) and 4219059-9 (female).

## References

1. Mathematics Genealogy Project
2. Fellows of the American Statistical Association database