Professor of Computer Science and Statistics at UCLA, Pioneer in Bayesian networks and causal inference, Turing Award laureate for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.
Judea Pearl is a Professor of Computer Science and Statistics at UCLA.
He is widely recognized for his pioneering work in Bayesian networks and causal inference, which significantly advanced artificial intelligence research.
Pearl was awarded the prestigious Turing Award in 2011 for his fundamental contributions in enabling machines to reason about cause and effect, shaping modern AI and data science.
He has authored key texts and is considered a leading authority in probabilistic reasoning and causal modeling.

Topic: Artificial intelligence, causality, computer science

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