David Blei

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David M. Blei
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, along with Andrew Ng and Michael I. Jordan. As of June 18, 2020, his publications have been cited 83,214 times, giving him an h-index of 85.[1]

Honors and awards[edit]

Blei received the ACM Infosys Foundation Award in 2013. (This award is given to a computer scientist under the age of 45. It has since been renamed the ACM Prize in Computing.) 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 2020-06-18.
  2. ^ "ACM Fellows Named for Computing Innovations that Are Advancing Technology in the Digital Age". ACM. 8 December 2015. Archived from the original on 9 December 2015. Retrieved 9 December 2015.

External links[edit]