Faculty Profiles
Dan Fu
Assistant Professor, Computer Science and Engineering
machine learning; advanced intelligent systems; efficient ML systems
Fu focuses on designing efficient machine learning architectures and systems that scale well on modern hardware. His broader goal is to make advanced intelligent systems more practical, accessible, and eff icient to deploy.
Capsule Bio:
Fu joined the Jacobs School of Engineering in 2026, leading the SandyResearch Lab and affiliated with the MLSys group. He is also VP of Kernels at Together AI, where he is building a world-class team focused on low-level performance engineering and GPU kernels. Fu earned a PhD at Stanford.
Selected Publications:
