Luc De Raedt
Luc De Raedt studies ways to combine machine learning with logical and probabilistic reasoning. De Raedt received a computer science doctorate from KU Leuven in 1991. He pursued subsequent postdoctoral research in Flanders and part-time faculty work at Leuven. De Raedt was a professor and chair of the Machine Learning and Natural Language Processing Lab at Freiburg from 1999 to 2006. His research spans learning, reasoning, and probabilistic and inductive programming.
Timeline
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1991
Doctoral training
De Raedt received a computer science doctorate from KU Leuven in 1991. He pursued subsequent postdoctoral research in Flanders and part-time faculty work at Leuven.
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1999–2006
Machine learning at Freiburg
De Raedt was a professor and chair of the Machine Learning and Natural Language Processing Lab at Freiburg from 1999 to 2006. His research spans learning, reasoning, and probabilistic and inductive programming.
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2015
Automating data science
De Raedt received an ERC Advanced Grant for the SYNTH project in 2015. The project concerned automation of data science.
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2019
Research recognition
AAAI elected Luc De Raedt as a Fellow in 2019.
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As of October 2026
Research languages and tools
His shared research produced ProbLog for probabilistic logic programming and DeepProbLog for integrating neural and symbolic computation. Other tools include Tilde, Claudien, and frameworks for statistical relational learning.
Sources and credits
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