Jordan Boyd-Graber

4146 Iribe Center
Ph.D., Princeton University (Computer Science)
Special Awards/Honors: 
Karen Spärk Jones award

Jordan Boyd-Graber is a professor of computer science and a member of the Computational Linguistics and Information Processing (CLIP) Laboratory, with an additional appointment in the College of Information.

His 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.

Go here to view Boyd-Graber‘s academic publications on Google Scholar.