Michael I. Jordan
Co-author of the Ray and latent Dirichlet allocation papers; UC Berkeley Distinguished Professor Emeritus
- Directeur de Recherche, Inria and École Normale Supérieure1
- Pehong Chen Distinguished Professor Emeritus (Professor, 1998–2024), University of California, Berkeley1
Michael I. Jordan is a Directeur de Recherche at Inria and the École Normale Supérieure and the Pehong Chen Distinguished Professor Emeritus in EECS and Statistics at UC Berkeley, where Jordan was a professor from 1998 to 2024 after a decade on the MIT faculty. Jordan was also an Amazon Scholar from 2018 to 2024. Jordan co-authored the latent Dirichlet allocation (LDA) paper with David Blei and Andrew Ng, and the paper introducing Ray, the distributed framework for AI applications.123
Work
RayPublished research
Co-author of "Ray: A Distributed Framework for Emerging AI Applications" (2017), the paper that introduced the Ray framework.3
Latent Dirichlet Allocation (external site: jmlr.org)Published research
Co-author with David M. Blei and Andrew Y. Ng of "Latent Dirichlet Allocation" (Journal of Machine Learning Research, 2003), which describes a generative probabilistic model for collections of discrete data such as text corpora.2
Other documented roles
Roles the sources document but that are not confirmed as current.
- Professor (1988–1998), Massachusetts Institute of Technology1
- Amazon Scholar (2018–2024), Amazon1
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