Jude W. Shavlik
Jude Shavlik studies learning algorithms that can use advice and structured knowledge, with applications in biomedicine. Shavlik earned a doctorate from the University of Illinois at Urbana in 1988. His research interests include advice-taking learning algorithms, statistical relational learning, neural networks, reinforcement learning, transfer learning, and machine reading. These methods cover different ways to learn from data and knowledge.
- Works
- 248
- Citations
- 12,641
- h-index
- 52
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1988
Doctoral training
Shavlik earned a doctorate from the University of Illinois at Urbana in 1988.
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2006
Research recognition
AAAI elected Jude W. Shavlik as a Fellow in 2006.
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2017
Teaching and retirement
Shavlik taught Building Deep Neural Networks in spring 2017 and retired from the University of Wisconsin–Madison in July 2017.
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As of October 2026
Learning from advice and relations
His research interests include advice-taking learning algorithms, statistical relational learning, neural networks, reinforcement learning, transfer learning, and machine reading. These methods cover different ways to learn from data and knowledge.
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As of October 2026
Biomedical learning tasks
His machine-learning applications include disease diagnosis, protein-structure determination, and information extraction from biomedical text.
Sources and credits
Photo: pages.cs.wisc.edu; Jude W. Shavlik profile photograph; creator not stated. License: Not stated by source. Source: pages.cs.wisc.edu. Cropped to a square and resized. Ask us to remove or replace this photo.