Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA

Scalable collective reasoning in graphs

Lise Getoor (University of California, Santa Cruz)
2:30pm–3:00pm Tuesday, 03/29/2016
Hardcore Data Science
Location: 210 C/G
Average rating: ****.
(4.00, 15 ratings)

Prerequisite knowledge

Attendees should have a basic understanding of data science practices.


Lise Getoor explores scalable collective reasoning in graphs.

Photo of Lise Getoor

Lise Getoor

University of California, Santa Cruz

Lise Getoor is a professor in the Computer Science Department at the University of California, Santa Cruz, and director of the UCSC Data Science Research Center. Her research areas include machine learning, data integration, and reasoning under uncertainty, with an emphasis on graph and network data. Previously, she was a professor in the Computer Science Department at the University of Maryland, College Park. Lise has over 250 publications and extensive experience with machine learning and probabilistic modeling methods for graph and network data. She is a fellow of the Association for Artificial Intelligence and an elected board member of the International Machine Learning Society; she serves on the board of the Computing Research Association (CRA) and was cochair for ICML 2011. Lise is a recipient of an NSF Career Award and 12 best paper and best student paper awards. She holds a PhD from Stanford University, an MS from UC Berkeley, and a BS from UC Santa Barbara.