Contributor

Jingrong Zhang joined NVIDIA in July 2019 as a developer technology engineer, where she focuses on optimizing parallel CUDA algorithms and accelerating deep learning-related operations. Working with colleges at Nvidia, she worked on designing, implementing, and optimizing the AIR Top-K and Top-P parallel algorithms, which are widely used in various applications. She graduated from the Chinese Academy of Sciences, Institute of Computing Technology. During her Ph.D. period, she focused on using CUDA and deep learning to optimize Cryo-EM image processing.