Ekin Dogus Cubuk

Cubuk connects machine learning with materials discovery. He co-developed GNoME, which predicted hundreds of thousands of potentially stable crystal structures, giving scientists new candidates to test. He also co-created AutoAugment and RandAugment, methods that improve image recognition by varying training images.