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Michael I. Jordan

Michael I. Jordan is an American computer scientist and statistician, a UC BerkeleyUniversity of California, BerkeleyThe University of California, Berkeley (UC Berkeley) is a campus of the University of California system; the University of California was founded in 1868 through a merger of two institutions and moved to Berkeley, California, in 1873.Open the full entry professor emeritus and research director at Inria in France, known for work on statistical machine learning, variational inference and probabilistic graphical models; he won the inaugural WLA Prize and a BBVA Frontiers of Knowledge Award.

Contents23 sections
Key facts

Born in Aberdeen, Maryland

Michael I. Jordan was born in 1956 in Aberdeen, Maryland, United States.⁠[1]

He grew up in Louisiana and Kansas.⁠[2]

Training in Psychology and Statistics

He earned a BS in psychology at Louisiana State University and an MS in statistics at Arizona State University; visiting UC San Diego, he discovered the emerging field of cognitive science, an “aha” experience in his words.⁠[2]

PhD in Cognitive Science from UC San Diego

He received a PhD in cognitive science from UC San Diego in 1985.⁠[3]

Postdoc at UMass Amherst

From 1986 to 1988 he was a postdoctoral researcher in computer and information science at the University of Massachusetts Amherst.⁠[4]

MIT Faculty

From 1988 to 1998 he taught in MIT’s Department of Brain and Cognitive Sciences.⁠[1]

Joins UC Berkeley

From 1998 he was a professor of EECS and statistics at UC Berkeley, chairing the statistics department from 2015 to 2017.⁠[4]

Allen Newell Award

Elected to the National Academy of Sciences

He was elected to the National Academy of Sciences; Berkeley described his research as lying at the intersection of computer science and biology, including machine learning.⁠[5]

Elected to the American Academy of Arts and Sciences

He was among three Berkeley faculty members in that year’s 212 new members of the American Academy of Arts and Sciences.⁠[6]

Wins the Rumelhart Prize

The Cognitive Science Society announced at its annual meeting in Quebec City that he had won the David E. Rumelhart Prize, which carries $100,000; he had been a student of David Rumelhart himself.⁠[7]

Named “Most Influential Computer Scientist”

In 2016 he was identified as the “most influential computer scientist” based on an analysis of the published literature by the Semantic Scholar project.⁠[8]

He has argued for zeroing in on small relevant subsets of big data, and with colleagues developed the “Bag of Little Bootstraps” to quickly estimate error bars for answers drawn from large databases.⁠[9]

Co-Leads RISELab Expedition

The National Science Foundation gave Berkeley’s RISELab a five-year, $10 million Expeditions in Computing award for real-time decision-making AI systems; the project was led by Ion Stoica, with him as one of the co-leads.⁠[10]

“Artificial Intelligence—The Revolution Hasn’t Happened Yet”

In the inaugural issue of the Harvard Data Science Review he published “Artificial Intelligence—The Revolution Hasn’t Happened Yet,” arguing that fascination with machine intelligence rivaling our own distracts us, and in a companion commentary stressed other forms of intelligence such as economic markets.⁠[11]

IEEE John von Neumann Medal and Yale Honorary Degree

He received the IEEE John von Neumann Medal in 2020.⁠[3]

Appears on the Lex Fridman Podcast

He appeared on episode 74 of the Lex FridmanLex FridmanLex Fridman is a Soviet-born, US-raised computer scientist and podcast host who works as an MIT research scientist on human-AI interaction and autonomous driving. His Lex Fridman Podcast is known for hours-long conversations with guests including heads of state and technology leaders.Open the full entry Podcast, discussing the term “artificial intelligence,” his disagreement with Yann LeCun, recommender systems and distributed decision-making at scale, privacy and trust, optimization and Nesterov acceleration, and the nature of statistics.⁠[12]

Elected Foreign Member of the Royal Society

He was one of 10 foreign members elected to the Royal Society that year, cited for his work on statistical inference and continuous optimization.⁠[13]

That year he also won the American Mathematical Society’s Ulf Grenander Prize.⁠[4]

Inaugural WLA Prize

He won the inaugural World Laureates Association Prize in Computer Science or Mathematics, worth RMB 10 million ($1.4 million), for fundamental contributions to the foundations of machine learning and its application; he was then director of Berkeley’s CLIMB center.⁠[14]

Prediction-Powered Inference

He and Berkeley colleagues published a paper in Science introducing prediction-powered inference, which uses a small amount of real data to correct predictions from large models such as AlphaFold so they can be used safely to test scientific hypotheses.⁠[15]

Leads Inria’s Markets and Learning Chair

BBVA Frontiers of Knowledge Award

He and Anil Jain shared the 17th BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies; the committee said his work provided unified algorithms for statistical and probabilistic inference.⁠[17]

The BBVA Foundation said that in the 2000s he devised algorithms to run machine learning programs on hundreds or thousands of computers, leading to the creation of the Ray platform.⁠[1]

As of October 2026: Inria and Berkeley Emeritus

He is a research director at Inria and the École Normale Supérieure in Paris, has been a distinguished professor emeritus at UC Berkeley since 2024, and has been a laureate professor at Mohamed Bin Zayed University of Artificial Intelligence since 2020.⁠[18]

He and his wife, Barbara Rosario, have two sons.⁠[2]

Related Organizations, Websites, and Public Accounts

Sources

  1. Michael I. Jordan, 17th Frontiers of Knowledge Award in the Information and Communication Technologies (opens in a new window)
  2. Michael I. Jordan (opens in a new window)
  3. Michael Jordan | EECS at UC Berkeley (opens in a new window)
  4. Vitae (opens in a new window)
  5. Three UC Berkeley Professors Named to National Academy of Sciences | Research UC Berkeley (opens in a new window)
  6. Three Faculty Members Elected to American Academy of Arts and Sciences | Research UC Berkeley (opens in a new window)
  7. Michael Jordan Of Cognitive Science Wins The Rumelhart Prize : 13.7: Cosmos And Culture : NPR (opens in a new window)
  8. Michael I. Jordan | USENIX (opens in a new window)
  9. Big Thinking About Big Data | Research UC Berkeley (opens in a new window)
  10. $10 Million for Berkeley RISELab’s AI Research | Research UC Berkeley (opens in a new window)
  11. Prof. Michael Jordan Lays Out Broader Agenda for AI | CDSS at UC Berkeley (opens in a new window)
  12. #74 - Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI | Lex Fridman Podcast (opens in a new window)
  13. EECS Professor Michael Jordan Named to Royal Society | Research UC Berkeley (opens in a new window)
  14. EECS and Statistics Prof. Michael I. Jordan wins the inaugural World Laureates Association Prize | Department of Statistics (opens in a new window)
  15. How to Use AI for Discovery — Without Leading Science Astray | Research UC Berkeley (opens in a new window)
  16. Intégrer les incitations économiques dans les modèles d’IA : cinq grandes entreprises françaises s’allient à la Fondation Inria pour lancer la Chaire Marchés et Apprentissage | Fondation Inria (opens in a new window)
  17. Michael I. Jordan Receives Frontiers of Knowledge Award | Research UC Berkeley (opens in a new window)
  18. Michael I. Jordan's Home Page (opens in a new window)
  19. University of California, Berkeley: Home (opens in a new window)
  20. Accueil | Inria (opens in a new window)