Michael I. Jordan
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| Michael I. Jordan | |
|---|---|
| Born | February 25, 1956 Louisiana |
| Residence | Berkeley, CA |
| Institutions | University of California, Berkeley University of California, San Diego Massachusetts Institute of Technology |
| Thesis | The Learning of Representations for Sequential Performance (1985) |
| Doctoral advisor | David Rumelhart Donald Norman |
| Doctoral students | Eric Xing Francis Bach Zoubin Ghahramani Percy Liang Tommi Jaakkola |
| Other notable students | Andrew Ng David Blei Yoshua Bengio |
| Known for | Latent Dirichlet allocation |
| Notable awards | Fellow of the U.S. National Academy of Sciences[1] AAAI Fellow (2002) Rumelhart Prize (2015) [2] |
| Website www |
|
Michael Irwin Jordan (born 1956) is an American scientist, Professor at the University of California, Berkeley and leading researcher in machine learning and artificial intelligence.[3][4][5]
Contents
Biography
Jordan was born in Ponchatoula, Louisiana,[6] to a working-class family, and received his BS magna cum laude in Psychology in 1978 from the Louisiana State University, his MS in Mathematics in 1980 from the Arizona State University and his PhD in Cognitive Science in 1985 from the University of California, San Diego.[7] At the University of California, San Diego Jordan was a student of David Rumelhart and a member of the PDP Group in the 1980s.
Jordan is currently a full professor at the University of California, Berkeley where his appointment is split across the Department of Statistics and the Department of EECS. He was a professor at MIT from 1988-1998.[7]
Jordan received numerous awards, including a best student paper award [8] (with X. Nguyen and M. Wainwright) at the International Conference on Machine Learning (ICML 2004), a best paper award (with R. Jacobs) at the American Control Conference (ACC 1991), the ACM - AAAI Allen Newell Award, the IEEE Neural Networks Pioneer Award, and an NSF Presidential Young Investigator Award. In 2010 he was named a Fellow of the Association for Computing Machinery "for contributions to the theory and application of machine learning."[9]
It is notable that many of Jordan's graduate students and postdocs continue to strongly influence the machine learning field after their PhDs. Francis Bach, Zoubin Ghahramani, Tommi Jaakkola, Andrew Ng, Lawrence Saul and David Blei (all former students or postdocs of Jordan) have all continued to make significant contributions to the field.
Work
In the 1980s Jordan started developing recurrent neural networks as a cognitive model. In recent years, though, his work is less driven from a cognitive perspective and more from the background of traditional statistics.
He popularised Bayesian networks in the machine learning community and is known for pointing out links between machine learning and statistics. Jordan was also prominent in the formalisation of variational methods for approximate inference[1] and the popularisation of the expectation-maximization algorithm[10] in machine learning.
Resignation from Machine Learning Journal
In 2001, Michael Jordan and others resigned from the Editorial Board of Machine Learning. In a public letter, they argued for less restrictive access; a new journal Journal of Machine Learning Research (JMLR) was created to support the evolution of the field of machine learning.[11]
References
- ↑ 1.0 1.1 Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Bio highlights of Prof. MI Jordan
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet allocation. The Journal of Machine Learning Research, Volume 3, 3/1/2003
- ↑ Michael I. Jordan, ed. Learning in Graphical Models. Proceedings of the NATO Advanced Study Institute, Ettore Maiorana Centre, Erice, Italy, September 27-October 7, 1996
- ↑ Bayesian or Frequentist, Which are You? Machine Learning Summer School (MLSS), Cambridge 2009
- ↑ 7.0 7.1 Vitae MICHAEL I. JORDAN Department of Electrical Engineering and Computer Science, Department of Statistics, University of California. Accessed September 3, 2013
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter (2001)
External links
- Homepage (at University of California, Berkeley)
- Published papers (chronological)
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- 1956 births
- Living people
- Artificial intelligence researchers
- Machine learning researchers
- University of California, San Diego alumni
- Fellows of the American Statistical Association
- Fellows of the Association for the Advancement of Artificial Intelligence
- University of California, Berkeley faculty
- University of California, Berkeley College of Engineering faculty
- Place of birth missing (living people)
- Fellows of the Association for Computing Machinery
- Members of the United States National Academy of Sciences
- Fellows of the American Academy of Arts and Sciences
- Members of the United States National Academy of Engineering
- Rumelhart Prize laureates
- Fellows of the Society for Industrial and Applied Mathematics
