Jianyu Huang

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Jianyu Huang is a research scientist at Meta, specializing in the design and optimization of large-scale deep learning and machine learning systems. His work drives advancements in large language models, recommendation systems, and low-precision hardware architectures, enabling high-performance, distributed training and inference. Jianyu holds a Ph.D. in Computer Science from the University of Texas at Austin, where he focused on high-performance computing.