All Images
News Release 17-079
New NSF awards will bring together cross-disciplinary science communities to develop foundations of data science
TRIPODS awards are NSF's first major investment toward Harnessing the Data Revolution, one of '10 Big Ideas for Future NSF Investments'
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.
Sham M. Kakade holds the Washington Research Foundation Data Science Chair with a joint appointment in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington in Seattle. He works on both theoretical and applied questions in machine learning and artificial intelligence, focusing on designing (and implementing) both statistically and computationally efficient algorithms for machine learning, statistics, and artificial intelligence. His intent is to see these tools advance the state of the art on core scientific and technological problems.
Credit: Dennis Wise/University of Washington
Download the high-resolution JPG version of the image. (10.6 MB)
Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.