Lise Getoor
Lise Getoor builds statistical models of structured and unstructured data, linking machine learning with reasoning under uncertainty. Getoor studies machine learning, reasoning under uncertainty, databases, and AI. Her group’s topics include statistical relational learning, entity resolution, and Probabilistic Soft Logic. Getoor joined the computer science department at UC Santa Cruz in November 2013. Her work there includes relational models and entity resolution.
- Works
- 483
- Citations
- 18,249
- h-index
- 65
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2013
Joining UC Santa Cruz
Getoor joined the computer science department at UC Santa Cruz in November 2013. Her work there includes relational models and entity resolution.
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2013
Research recognition
AAAI elected Lise Getoor as a Fellow in 2013.
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2020
Responsible data science teaching
Getoor introduced Ethics and Algorithms as an undergraduate course in January 2020 and Responsible Data Science as a graduate course in March 2020.
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As of October 2026
Learning from structured data
Getoor studies machine learning, reasoning under uncertainty, databases, and AI. Her group’s topics include statistical relational learning, entity resolution, and Probabilistic Soft Logic.
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As of October 2026
Data integration and reasoning
Her research topics include data integration, information extraction, planning under uncertainty, and constraint-based reasoning. These areas connect uncertain evidence with decisions about how data should be combined and used.
Sources and credits
Photo: Marc Smith, via Wikimedia Commons. License: CC BY 2.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
