Haixin Liu

Haixin Liu is a senior deep learning architect for JAX performance at NVIDIA, where he focuses on AI training and inference efficiency at scale. Prior to NVIDIA, Haixin was at Meta working on AI System Co-Design for large recommendation models, and he was one of the original contributors of PyTorch Quantization. Haixin holds a PhD in Electrical and Computer Engineering from Purdue University.