# Shubhra Sankar Ray

> researcher

**Wikidata**: [Q106122450](https://www.wikidata.org/wiki/Q106122450)  
**Source**: https://4ort.xyz/entity/shubhra-sankar-ray

## Summary
Shubhra Sankar Ray is an Indian researcher and computer scientist specializing in bioinformatics, artificial neural networks, and genetic algorithms. He serves as an associate professor at the Indian Statistical Institute (ISI), where he has been employed since 2009. His work bridges computer science with biology, focusing on data analysis and computational modeling.

## Biography
- **Born**: [Date and place unknown]  
- **Nationality**: Indian  
- **Education**: [No data available]  
- **Known for**: Research in bioinformatics, soft computing, and artificial intelligence methodologies.  
- **Employer(s)**: Indian Statistical Institute (associate professor, 2009–present)  
- **Field(s)**: Computer science, bioinformatics, electrical engineering, genetic algorithms, artificial neural networks, data mining, soft computing  

## Contributions
Shubhra Sankar Ray’s research integrates computational techniques with biological data analysis, emphasizing soft computing approaches like genetic algorithms and artificial neural networks. While specific publications or projects are not detailed in the source material, his role as an associate professor at ISI since 2009 underscores his contributions to education and interdisciplinary research. His work in bioinformatics aligns with efforts to develop tools for interpreting complex biological datasets, a critical area for advancements in healthcare and biotechnology. As of the latest data, his research interests span data mining, computational modeling, and the application of machine learning frameworks to biological systems.

## FAQs
### Q: Where does Shubhra Sankar Ray work?  
A: He is employed as an associate professor at the Indian Statistical Institute, a premier research institute in India.  

### Q: What fields is Shubhra Sankar Ray known for?  
A: His primary fields include computer science, bioinformatics, and soft computing, with a focus on genetic algorithms and artificial neural networks.  

### Q: What is Shubhra Sankar Ray’s nationality?  
A: He is Indian, affiliated with an institution headquartered in Baranagar, India.  

## Why They Matter
Shubhra Sankar Ray contributes to the intersection of computer science and biology, developing methodologies that enhance data analysis in bioinformatics. His work on genetic algorithms and neural networks supports advancements in machine learning and computational biology, fields critical to personalized medicine and genomic research. As an educator at ISI, he fosters interdisciplinary training, ensuring the next generation of researchers can tackle complex biological challenges with computational tools. His focus on soft computing—a paradigm emphasizing flexibility and adaptability—addresses limitations of traditional algorithms, offering robust solutions for real-world problems.

## Notable For
- Associate professor at the Indian Statistical Institute (since 2009).  
- Interdisciplinary expertise in computer science, bioinformatics, and electrical engineering.  
- Research in genetic algorithms, artificial neural networks, and data mining.  

## Body
### Career  
Shubhra Sankar Ray has been an associate professor at the Indian Statistical Institute (ISI) since August 12, 2009. ISI, established in 1931, is recognized as an Institute of National Importance in India.  

### Research Focus  
Ray’s work spans:  
- **Bioinformatics**: Combining biology, computer science, and statistics to analyze biological data.  
- **Artificial Neural Networks**: Developing computational models for machine learning tasks.  
- **Genetic Algorithms**: Applying evolutionary strategies to optimize problem-solving in complex datasets.  
- **Soft Computing**: Exploring flexible computational techniques to address uncertainty in data analysis.  

### Methodologies  
His research emphasizes interdisciplinary approaches, integrating tools from electrical engineering and computer science to advance biological data interpretation. Specific areas include data mining and the development of adaptive algorithms for large-scale biological systems.  

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  "nationality": {
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  "description": "Indian computer scientist and associate professor at the Indian Statistical Institute, specializing in bioinformatics and soft computing."
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## References

1. Czech National Authority Database
2. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0001-7892-1369/employment/8404674)
3. Virtual International Authority File