# Zhaohui Steve Qin

> researcher

**Wikidata**: [Q37391829](https://www.wikidata.org/wiki/Q37391829)  
**Source**: https://4ort.xyz/entity/zhaohui-steve-qin

## Summary
Zhaohui Steve Qin is a computer scientist specializing in bioinformatics, computational biology, and genomics. Born on June 3, 1972, he is recognized for his interdisciplinary research combining computer science and biology to analyze biological data. Qin has held academic positions at Emory University and the University of Florida, contributing to advancements in genomic and computational methods.

## Biography
- **Born**: June 3, 1972  
- **Nationality**: [Not specified in source material]  
- **Education**:  
  - PhD, University of Florida (1995–2000)  
  - Degree, Peking University (1990–1994)  
- **Known for**: Interdisciplinary research in bioinformatics, computational biology, and genomics.  
- **Employer(s)**:  
  - University of Florida (2010–2020)  
  - Emory University (2003–2010)  
- **Field(s)**: Computer science, bioinformatics, computational biology, genomics  

## Contributions  
Zhaohui Steve Qin’s work focuses on developing computational methods for analyzing biological data, particularly in genomics and systems biology. While specific publications or tools are not detailed in the source material, his research roles at Emory University and the University of Florida underscore his contributions to academic programs in these fields. His interdisciplinary approach bridges computer science and biology, supporting advancements in data-driven biological research.  

## FAQs  
### Q: What are Zhaohui Steve Qin’s primary research areas?  
A: Qin specializes in bioinformatics, computational biology, and genomics, integrating computer science with biological data analysis.  

### Q: Where has Zhaohui Steve Qin worked?  
A: He held positions at the University of Florida (2010–2020) and Emory University (2003–2010).  

### Q: What is Zhaohui Steve Qin’s educational background?  
A: He earned a PhD from the University of Florida (1995–2000) and previously studied at Peking University (1990–1994).  

## Why They Matter  
Zhaohui Steve Qin’s work has advanced the application of computational methods in biology, enabling more efficient analysis of complex biological datasets. His contributions to genomics and bioinformatics support research in personalized medicine, systems biology, and large-scale data interpretation, impacting both academic and clinical fields.  

## Notable For  
- Interdisciplinary research bridging computer science and biology.  
- Academic appointments at Emory University and the University of Florida.  
- Expertise in genomic data analysis and computational modeling.  

## Body  
### Education and Career  
- **1990–1994**: Studied at Peking University.  
- **1995–2000**: Earned a PhD from the University of Florida.  
- **2003–2010**: Held a faculty position at Emory University.  
- **2010–2020**: Worked at the University of Florida.  

### Research Focus  
Qin’s work spans:  
- **Bioinformatics**: Developing tools for biological data analysis.  
- **Computational Biology**: Modeling biological systems and processes.  
- **Genomics**: Analyzing genomic datasets to understand biological mechanisms.  

### Professional Identity  
- **Identifiers**: ORCID (0000-0002-1583-146X), VIAF (304962248).  
- **Roles**: Researcher, educator, and advisor to doctoral students.  

### Collaborations and Impact  
While specific collaborations or mentorship details are limited, Qin’s academic roles suggest involvement in training researchers and contributing to institutional programs in computational biology. His work aligns with global efforts to integrate computational tools into biological sciences, enhancing data interpretation and discovery.

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-1583-146X/education/1817025)
3. Mathematics Genealogy Project
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-1583-146X/education/3703453)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1583-146X/employment/1817029)
6. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1583-146X/employment/3703457)
7. Virtual International Authority File
8. Library of Congress Authorities
9. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-1583-146X/researcher-urls/450362)
10. [SciGraph](https://scigraph.springernature.com/person.01335051666.23)