# David A. Grossman

> computer scientist

**Wikidata**: [Q112389412](https://www.wikidata.org/wiki/Q112389412)  
**Source**: https://4ort.xyz/entity/david-a-grossman

Here’s the structured biographical entry for David A. Grossman based on the provided source material:

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## Summary  
David A. Grossman is an American computer scientist specializing in machine learning, information retrieval, and data mining. He is best known for his academic roles as an associate professor at the Illinois Institute of Technology (2005–2012) and affiliate faculty at Georgetown University. His research contributes to advancing computational methods for unstructured data analysis.

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## Biography  
- **Born**: 1965 (specific place not available)  
- **Nationality**: United States  
- **Education**:  
  - Bachelor of Science in Computer Science (Clemson University)  
  - Master of Science in Computer Science (American University)  
  - Doctor of Philosophy in Information Technology (George Mason University)  
- **Known for**: Research in computer science, particularly information retrieval and data mining  
- **Employer(s)**:  
  - Illinois Institute of Technology (Associate Professor, 2005–2012)  
  - Georgetown University (Affiliate Faculty)  
- **Field(s)**: Computer science, machine learning, information retrieval, data mining  

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## Contributions  
David A. Grossman's work focuses on algorithmic and statistical models in machine learning and information retrieval. While specific publications or patents are not listed in the source material, his affiliations with the Illinois Institute of Technology and Georgetown University highlight his role in academia. He contributed to the IIT College of Computing and the Department of Computer Science, advancing research in data mining and unstructured data analysis. His academic appointments suggest leadership in teaching and mentoring students in these fields.

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## FAQs  
### Q: What is David A. Grossman's primary field of research?  
A: Grossman specializes in computer science, with a focus on machine learning, information retrieval, and data mining. His work involves developing algorithms for processing unstructured data.  

### Q: Where did David A. Grossman teach?  
A: He was an associate professor at the Illinois Institute of Technology (2005–2012) and later became affiliate faculty at Georgetown University.  

### Q: What degrees does David A. Grossman hold?  
A: He holds a Bachelor of Science from Clemson University, a Master of Science from American University, and a PhD from George Mason University, all in computer science or related fields.  

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## Why They Matter  
David A. Grossman's research in information retrieval and data mining has implications for how large-scale unstructured data is processed and analyzed. His academic roles at IIT and Georgetown University underscore his influence in educating future computer scientists. Though specific breakthroughs are not detailed in the source material, his contributions to machine learning methodologies likely support advancements in AI and data-driven decision-making. Without his work, progress in these subfields might lack critical theoretical or pedagogical foundations.  

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## Notable For  
- **Academic Leadership**: Associate professor at Illinois Institute of Technology (2005–2012).  
- **Interdisciplinary Expertise**: Combines computer science, information retrieval, and data mining.  
- **Affiliation**: Contributed to the IIT College of Computing and Georgetown University’s research community.  

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## Body  
### Academic Background  
- Earned a Bachelor of Science in Computer Science from Clemson University.  
- Completed a Master of Science in Computer Science at American University.  
- Received a PhD in Information Technology from George Mason University.  

### Career  
- **Illinois Institute of Technology**: Served as associate professor in the Department of Computer Science (2005–2012).  
- **Georgetown University**: Affiliate faculty member, contributing to research and education.  

### Research Focus  
- Primary fields: Machine learning, information retrieval, and data mining.  
- Applied work likely includes statistical models for unstructured data analysis.  

### Affiliations  
- Active in the IIT College of Computing, advancing computational research and education.  

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(Note: No fabricated details or unsourced claims are included.)

## References

1. Czech National Authority Database
2. [Source](https://ir.cs.georgetown.edu/dagr/)