Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Garrett Goh

Garrett Goh
Scientist, Pacific Northwest National Lab

Garrett Goh is a scientist in the Advanced Computing, Mathematics, and Data division at the Pacific Northwest National Lab (PNNL), where he holds the Pauling fellowship, which supports his research combining deep learning and artificial intelligence with traditional computational chemistry applications. His current interest is in AI-assisted computational chemistry—the application of deep learning to predict chemical properties and the discovery of new chemical insights using minimal expert knowledge. Previously, Garrett held a Howard Hughes Medical Institute (HHMI) fellowship, which supported his PhD in computational chemistry at the University of Michigan.

Sessions

1:45pm2:25pm Thursday, June 29, 2017
Verticals and applications
Location: Gramercy East/West Level: Intermediate
Secondary topics:  Health care
Garrett Goh (Pacific Northwest National Lab)
Garrett Goh demonstrates how to use deep learning to construct computational chemistry models that compare favorably to existing state-of-the-art models developed by expert practitioners—with virtually no expert knowledge—proving the potential of AI assistance to accelerate the scientific discovery process from a typical span of years to a matter of months. Read more.