- 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
At a glance
- Current roles
- Directeur de Recherche +1 more
- Sector
- University
- Education
- MIT, UC San Diego, UC Berkeley
- Work listed
- 2
- Honors
- 12
- Sources cited
- 4
- Profile reviewed
Career
Jordan was a professor at MIT from 1988 to 1998 and then at UC Berkeley from 1998 to 2024; Jordan is now Pehong Chen Distinguished Professor Emeritus there, listed with the Departments of EECS and Statistics. Since 2023 Jordan has been a Directeur de Recherche at Inria and the École Normale Supérieure.1
Jordan was an Amazon Scholar from 2018 to 2024 and has held visiting and honorary appointments, including a Laureate Professorship at Mohamed Bin Zayed University of Artificial Intelligence since 2020. Jordan's homepage also lists Jordan as a co-founder of Anyscale and of Arena Intelligence.1
Research
With David Blei and Andrew Ng, Jordan wrote the 2003 paper introducing latent Dirichlet allocation, a generative probabilistic model for collections of discrete data such as text corpora. Jordan also co-authored the 2017 paper presenting Ray, a distributed framework for emerging AI applications.23
More recent work with Anastasios Angelopoulos, Stephen Bates, Clara Fannjiang and Tijana Zrnic introduced prediction-powered inference in 2023, a framework for valid statistical inference when experimental data are supplemented with machine-learning predictions.4
Teaching and mentoring
Jordan's homepage lists current PhD students and postdocs along with a long roster of former students and postdocs who now hold academic and industry positions, among them David Blei, Francis Bach and Yoshua Bengio.1
Work and contributions
Ray Published research
Co-author of "Ray: A Distributed Framework for Emerging AI Applications" (2017), the paper that introduced the Ray framework.3
Latent Dirichlet Allocation 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
Timeline
- Joined the faculty of MIT as a professor.1
- Joined UC Berkeley as a professor.1
- Co-authored the latent Dirichlet allocation paper with David Blei and Andrew Ng.2
- Co-authored the paper introducing Ray, a distributed framework for AI applications.3
- Became an Amazon Scholar, a role held until 2024.1
- Became a Directeur de Recherche at Inria and the École Normale Supérieure.1
- Co-authored "Prediction-Powered Inference."4
- Became Distinguished Professor Emeritus at UC Berkeley.1
Other documented roles
Roles the sources document that are not confirmed as current.
- Professor (1988–1998), Massachusetts Institute of Technology1
- Amazon Scholar (2018–2024), Amazon1
Honors and recognition
- BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies · BBVA Foundation, 20251
- World Laureates Association Prize · World Laureates Association, 20221
- Ulf Grenander Prize in Stochastic Theory and Modeling · American Mathematical Society, 20211
- IEEE John von Neumann Medal · Institute of Electrical and Electronics Engineers, 20201
- IJCAI Research Excellence Award · International Joint Conferences on Artificial Intelligence, 20161
- David E. Rumelhart Prize · Cognitive Science Society, 20151
- ACM/AAAI Allen Newell Award · Association for Computing Machinery and Association for the Advancement of Artificial Intelligence, 20091
- IEEE Neural Networks Pioneer Award · Institute of Electrical and Electronics Engineers, 20061
- Member, National Academy of Sciences · National Academy of Sciences1
- Member, National Academy of Engineering · National Academy of Engineering1
- Foreign Member of the Royal Society · Royal Society1
- Fellow, American Association for the Advancement of Science · American Association for the Advancement of Science1
Where they work
- Inria and École Normale Supérieure 1 person in the wiki
- UC Berkeley 27 people in the wiki
Related people
- John DuchiMachine-learning theory · Training systems
- Cho-Jui HsiehTraining systems · Machine-learning theory
- Beren MillidgeTraining systems · Machine-learning theory
- Martín AbadiTraining systems · Machine-learning theory
- Sean LieTraining systems
- Michael CollinsMachine-learning theory
- Liliang RenTraining systems
- Tri DaoTraining systems
- Saurabh TiwaryTraining systems
- Jonathan FrankleTraining systems
Suggest a correction or removal
Profiles cover public professional work only, and each statement cites a source. If something is out of date, missing or wrong, tell us and link a source. People can also ask for their profile to be corrected or removed.
References
4 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026