Jordan Boyd-Graber

Associate Professor
3155 A.V. Williams Building
Education: 
Ph.D., Princeton University (Computer Science)
Special Awards/Honors: 
NSF CAREER AWARD
Karen Spärk Jones award
Biography: 

Jordan Boyd-Graber is an associate professor of computer science and a member of the Computational Linguistics and Information Processing (CLIP) Laboratory, with additional appointments in the iSchool and the Language Science Center.

He was previously a member of the CLIP lab from 2011 to 2014.

Boyd-Graber’s research is focused on making machine learning more useful, more interpretable, and able to learn from and interact with humans.

Boyd-Graber is an expert in the application of topic models, completely automatic tools that can discover structure and meaning in large, multilingual datasets. His work has been supported by NSF, IARPA, and ARL.

Boyd-Graber was the 2015 recipient of the Karen Spärk Jones award and has received an NSF CAREER Award.

Publications

There are no publications listed for this person.