Judea Pearl
Judea Pearl is a UCLA computer scientist known for probabilistic and causal reasoning. He came to AI from electrical engineering and joined UCLA in 1970. His work on Bayesian networks helped systems represent linked uncertain variables and update beliefs when new evidence arrives. He later developed a formal framework for causal questions, including the effects of interventions and counterfactual possibilities. The distinction between observing a condition and deliberately changing it is central to this work. Pearl received the 2011 ACM Turing Award, announced in 2012. UCLA marked his 90th birthday in 2026. His research connects AI with the methods scientists use to explain events and assess possible actions.
- Works
- 506
- Citations
- 83,051
- h-index
- 94
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1970 onward
Joining UCLA
Joined UCLA in 1970 and developed a long program in probabilistic and causal reasoning.
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1980s
Representing linked uncertainty
Helped develop Bayesian networks for updating linked uncertain beliefs from evidence.
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1994
Separating observation from intervention
Published a calculus that distinguishes observing a condition from intervening to change it.
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2011–2012
Receiving the Turing Award
Received the 2011 ACM Turing Award, announced in March 2012.
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2026
A continuing causal research legacy
UCLA celebrated his 90th birthday and continued scientific work in September 2026.
Sources and credits
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