Michael I. Jordan
Michael Jordan | |
|---|---|
| Born | Michael Irwin Jordan February 25, 1956 |
| Alma mater | |
| Known for | Latent Dirichlet allocation |
| Awards | Member of the National Academy of Sciences (2010) AAAI Fellow (2002) Rumelhart Prize (2015) IJCAI Award for Research Excellence (2016) IEEE John von Neumann Medal (2020) WLA Prize (2022) BBVA Foundation Frontiers of Knowledge Award (2024) |
| Scientific career | |
| Institutions | |
| Thesis | The learning of representations for sequential performance (connectionism, parallel models, serial order) (1985) |
| Doctoral advisor | David Rumelhart Donald Norman |
| Doctoral students | |
| Other notable students | |
| Website | people |
Michael Irwin Jordan ForMemRS (born February 25, 1956) is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.
Jordan was elected a member of the National Academy of Engineering in 2010 for contributions to the foundations and applications of machine learning.
He is one of the leading figures in machine learning, and in 2016 Science reported him as the world's most influential computer scientist.
In 2022, Jordan won the inaugural World Laureates Association Prize in Computer Science or Mathematics, "for fundamental contributions to the foundations of machine learning and its application."