Blog

Amir Gholami AI HPC 2022

October 24, 2022

Amir Gholami is a research scientist in RiseLab and BAIR at UC Berkeley. He received his PhD from UT Austin, working on large scale 3D image segmentation, a research topic which received UT Austin’s best doctoral dissertation award in 2018. He is a Melosh Medal finalist, the recipient of Amazon Machine Learning Research Award in 2020, best student paper award in SC’17, Gold Medal in the ACM Student Research Competition, and best student paper finalist in SC’14. He was also part of the Nvidia team that for the first time made low precision neural network training possible (FP16), enabling more than 10x increase in compute power through tensor cores. That technology has been widely adopted in GPUs today. Amir’s current research focuses on scientific machine learning, efficient AI, AutoML, and scalable training of NN models.