David Blei

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David M. Blei
ResidenceUnited States
NationalityUnited States
Alma materBrown University B.S. (1997)
University of California, Berkeley Ph.D. (2004)
Known forTopic models
AwardsPECASE
ACM Fellow (2015)
Scientific career
FieldsArtificial Intelligence
InstitutionsPrinceton University
Columbia University
Doctoral advisorMichael I. Jordan (Berkeley)
Websitewww.cs.columbia.edu/~blei/

David M. 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[edit]

His research interests include topic models and he was one of the original developers of latent Dirichlet allocation. As of October 25, 2017, his publications have been cited 50,850 times, giving him an h-index of 64.[1]

Honors and awards[edit]

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[edit]

  1. ^ "David Blei - Google Scholar Citations". scholar.google.com. Retrieved 2015-11-11.
  2. ^ "ACM Fellows Named for Computing Innovations that Are Advancing Technology in the Digital Age". ACM. 8 December 2015. Retrieved 9 December 2015.

External links[edit]