# Stephen L George

> researcher (ORCID 0000-0002-3625-5852)

**Wikidata**: [Q91475400](https://www.wikidata.org/wiki/Q91475400)  
**Source**: https://4ort.xyz/entity/stephen-l-george

## Summary
Stephen L George is a male statistician, biologist, and computer scientist affiliated with Duke University. He is a Fellow of the American Statistical Association, recognized for his contributions to statistics, applied statistics, biology, and bioinformatics.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Not specified
- Known for: Research in statistics, applied statistics, biology, and bioinformatics
- Employer(s): Duke University (1988-2015, 2015-present)
- Field(s): Statistics, applied statistics, biology, bioinformatics

## Contributions
Stephen L George has made significant contributions to the fields of statistics, applied statistics, biology, and bioinformatics through his research and academic work at Duke University. As a Fellow of the American Statistical Association since 1988, he has been recognized for his expertise and leadership in statistical methodology and its applications to biological sciences. His work bridges computer science and biology, contributing to the interdisciplinary field of bioinformatics. While specific publications or discoveries are not detailed in the source material, his long-standing affiliation with Duke University and his recognition by the American Statistical Association indicate a substantial body of research and academic influence in these areas.

## FAQs
### Q: What is Stephen L George's primary field of work?
A: Stephen L George works in statistics, applied statistics, biology, and bioinformatics, combining computer science with biological data analysis.

### Q: Where does Stephen L George work?
A: Stephen L George is affiliated with Duke University, where he has worked since 1988, with a brief interruption between March 2015 and April 2015.

### Q: What professional recognition has Stephen L George received?
A: Stephen L George was elected as a Fellow of the American Statistical Association in 1988, recognizing his contributions to the field of statistics.

## Why They Matter
Stephen L George matters in the scientific community for his interdisciplinary approach to combining statistics, computer science, and biology. His work in bioinformatics helps advance our understanding of biological data through computational methods, which is crucial for modern biological research and medical advancements. As a Fellow of the American Statistical Association, he has influenced the application of statistical methods in biological sciences, potentially impacting how researchers analyze complex biological data and make scientific discoveries.

## Notable For
- Fellow of the American Statistical Association (1988)
- Long-standing affiliation with Duke University (1988-present)
- Research spanning statistics, biology, and computer science
- Contributions to the field of bioinformatics
- Recognition as a statistician, biologist, and computer scientist

## Body
### Professional Background
Stephen L George has maintained a continuous professional relationship with Duke University since 1988, with a brief period between March 2015 and April 2015 where his employment status changed. His ORCID identifier (0000-0002-3625-5852) provides a unique identifier for his scholarly work and publications.

### Academic Recognition
The Fellow designation from the American Statistical Association, awarded in 1988, represents significant peer recognition in the statistical community. This honor is typically given to members who have made outstanding contributions to the field through research, teaching, consulting, or other professional activities.

### Interdisciplinary Work
George's work spans multiple disciplines, including statistics, biology, and computer science. This interdisciplinary approach is particularly relevant in bioinformatics, where computational methods are essential for analyzing complex biological data. His research likely involves developing statistical models and computational tools for biological data analysis.

### Research Impact
While specific publications are not listed in the source material, George's long career and professional recognitions suggest substantial contributions to his fields. His work in applied statistics likely has practical applications in biological research, potentially influencing how scientists approach data analysis in various biological contexts.

### Professional Network
As a member of the American Statistical Association and a Duke University affiliate, George is part of professional networks that facilitate collaboration and knowledge sharing in statistics and related fields. His work likely connects with other researchers in academia, industry, and government who use statistical methods in biological and computational research.

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-3625-5852/employment/6915424)
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-3625-5852/employment/605582)
4. Fellows of the American Statistical Association database