Computing for AI, and AI for Computing.

We are the Wan Lab at Columbia University. In one direction, we build cross-layer computing systems, spanning computer architecture, software systems, and silicon, for emerging AI workloads including physical, embodied, neuro-symbolic, and agentic AI. In the other, we develop agentic AI methods that design, optimize, and verify computing systems themselves. The two directions close a loop: better computing enables stronger AI, and stronger AI builds better computing.

Led by Prof. Zishen Wan · Department of Computer Science · Columbia University