David Blei
| David Blei | |
|---|---|
| Residence | United States |
| Nationality | United States |
| Alma mater |
Brown University B.S. (1997) University of California, Berkeley Ph.D. (2004) |
| Known for | Topic models |
| Awards |
PECASE ACM Fellow (2015) |
| Website | www |
| Scientific career | |
| Fields | Artificial Intelligence |
| Institutions |
Princeton University Columbia University |
| Doctoral advisor | Michael I. Jordan (Berkeley) |
| Doctoral students | Jordan Boyd-Graber Jonathan Chang Lauren Hannah Matt Hoffman |
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.
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.
He was named Fellow of ACM "For contributions to the theory and practice of probabilistic topic modeling and Bayesian machine learning" in 2015.
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