Kezhi Kong is a research scientist at NVIDIA and a member of the Foundation Model team. He received his PhD from the Computer Science Department of University of Maryland, College Park. His research focuses on building state-of-the-art large language models, especially through improved quality and extended scale of pretraining data as well as enhanced pretraining algorithms.