Summary
Jue Wang is a Senior Staff Researcher at Together AI with nine years of experience advancing the efficiency, scalability, and cost-effectiveness of large language models through work on efficient inference, scalable training systems, and algorithmic innovations. He holds a Ph.D. from Zhejiang University with a research visit to ETH Zürich and a publication record at ICML, ICLR, NeurIPS, and ACL, demonstrating strong theoretical grounding and practical impact. Based in San Francisco, he bridges cutting-edge research and production needs, helping teams make LLMs more deployable and affordable. Colleagues know him for focusing on systems-level optimizations that often yield outsized reductions in compute and latency—work that enables wider access to open-source AI. He’s actively open to collaborations around LLM systems, efficient training/inference, and open-source projects.
9 years of coding experience
Bachelor's degree, Electrical Engineering, 3.89/4.00, Bachelor's degree, Electrical Engineering, 3.89/4.00 at 浙江大学
Master's degree, Master's degree at CentraleSupelec
Visitor, Computer Science, Visitor, Computer Science at ETH Zürich
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Zhejiang University