Wanli Cheng

Wanli Cheng is a Ph.D. candidate in Computing & Data Sciences at Boston University. His research spans quantum information and quantum computing, AI safety, and AI for Science, with current work focusing on quantum error-correcting codes inspired by quantum gravity and quantum many-body physics, the robustness of AI systems, and AI-assisted scientific discovery. He received his B.A. in Pure and Applied Mathematics from Boston University and his M.S. in Physical Sciences from the University of Chicago. More broadly, he is interested in how structures such as tensor networks and causal or computational graphs organize information and computation, and how they can help design robust quantum and AI systems. Learn more about Wanli.