# David M. Blei

> American artificial intelligence researcher

**Wikidata**: [Q3017519](https://www.wikidata.org/wiki/Q3017519)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/David_Blei)  
**Source**: https://4ort.xyz/entity/david-m-blei

## Summary
David M. Blei is an American artificial intelligence researcher known for contributions to probabilistic topic modeling and Bayesian machine learning, recognized with awards including the ACM Prize in Computing (2013) and ACM Fellow status (2015).

## Biography
- Born: 1970 (place not specified)
- Nationality: United States
- Education: Brown University, University of California, Berkeley
- Known for: Contributions to probabilistic topic modeling and Bayesian machine learning
- Employer(s): Princeton University, Columbia University
- Field(s): Machine learning, topic model, artificial intelligence

## Contributions
David M. Blei has made foundational contributions to probabilistic topic modeling and Bayesian machine learning. He co-developed the Latent Dirichlet Allocation (LDA) model, a key probabilistic approach for analyzing text data, enabling efficient extraction of hidden topics from large corpora. His work on Bayesian nonparametric methods has shaped modern machine learning research, and he received the ACM Prize in Computing (2013) for these contributions.

## FAQs
### Q: What is David M. Blei known for in artificial intelligence?
A: He is known for contributions to probabilistic topic modeling and Bayesian machine learning, recognized with the ACM Prize in Computing (2013) and ACM Fellow status (2015).
### Q: Where did David M. Blei earn his education?
A: He earned his education at Brown University and the University of California, Berkeley.
### Q: What is his current affiliation?
A: He is affiliated with Princeton University and Columbia University.

## Why They Matter
His work on probabilistic topic modeling, particularly Latent Dirichlet Allocation (LDA), revolutionized text analysis by enabling efficient extraction of hidden topics from large corpora, becoming a foundational technique in natural language processing and data science. His contributions to Bayesian machine learning have shaped modern nonparametric methods, influencing subsequent research in AI and statistics.

## Notable For
- ACM Fellow (2015) for contributions to probabilistic topic modeling and Bayesian machine learning.
- Received the ACM Prize in Computing (2013) for contributions to probabilistic topic modeling.
- Awarded a Guggenheim Fellowship (2017).
- Has an Erdős number of 3.

## Body
### Early Life and Education
David M. Blei was born in 1970 (place not specified). He earned his education at Brown University and the University of California, Berkeley.

### Career and Research
Blei is an artificial intelligence researcher affiliated with Princeton University and Columbia University. His research focuses on machine learning, topic modeling, and artificial intelligence. He has advised doctoral students including Jordan Boyd-Graber, Güngör Polatkan, Sean M. Gerrish, Adji Bousso Dieng, Rajesh Ranganath, and Yixin Wang.

### Awards and Recognition
- **ACM Fellow**: Elected in 2015 for contributions to the theory and practice of probabilistic topic modeling and Bayesian machine learning.
- **ACM Prize in Computing**: Received in 2013 for contributions to probabilistic topic modeling.
- **Guggenheim Fellowship**: Awarded in 2017.
- **Fellow of the Institute of Mathematical Statistics**: Elected in 2017 for outstanding contributions to statistical machine learning and Bayesian methodology.

### Academic Contributions
Blei has made foundational contributions to probabilistic topic modeling and Bayesian machine learning. He co-developed the Latent Dirichlet Allocation (LDA) model, a key probabilistic approach for analyzing text data, enabling efficient extraction of hidden topics from large corpora. His work on Bayesian nonparametric methods has shaped modern machine learning research, and he received the ACM Prize in Computing (2013) for these contributions.

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## References

1. [Source](https://www.acm.org/articles/people-of-acm/2014/david-blei)
2. [Source](http://www.cs.columbia.edu/~blei/)
3. ACM Digital Library
4. [Source](https://www.acm.org/media-center/2015/december/fellows-2015)
5. Guggenheim Fellows database
6. [Source](https://imstat.org/2017/05/15/2017-ims-fellows-2/)
7. [Source](https://awards.acm.org/newell/award-recipients)
8. Mathematics Genealogy Project
9. Virtual International Authority File
10. CiNii Research
11. IdRef