David Blei
| David Blei | |
|---|---|
| Residence | United States |
| Nationality | United States |
| Fields | Artificial Intelligence |
| Institutions |
Princeton University Columbia University |
| Alma mater |
Brown University B.S. (1997) University of California, Berkeley Ph.D. (2004) |
| Doctoral advisor | Michael I. Jordan (Berkeley) |
| Doctoral students |
Jordan Boyd-Graber Jonathan Chang Lauren Hannah Matt Hoffman |
| Known for | Topic models |
| Notable awards |
PECASE ACM Fellow (2015) |
|
Website www | |
David Blei is a Professor in the Statistics and Computer Science departments at Columbia University. Prior to fall 2014 he was an Associate Professor in the Department of Computer Science at Princeton University. His work is primarily in machine learning.
Research
His research interests include topic models and he was one of the original developers of latent Dirichlet allocation. As of November 11, 2015, his publications have been cited 31,135 times, giving him an h-index of 53.[1]
Honors and Awards
He was named Fellow of ACM "For contributions to the theory and practice of probabilistic topic modeling and Bayesian machine learning" in 2015.[2]
References
- ↑ "David Blei - Google Scholar Citations". scholar.google.com. Retrieved 2015-11-11.
- ↑ "ACM Fellows Named for Computing Innovations that Are Advancing Technology in the Digital Age". ACM. 8 December 2015. Retrieved 9 December 2015.
External links
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