TAN Zhi Xuan

TAN Zhi Xuan is a NUS Presidential Young Professor in the Department of Computer Science at the National University of Singapore, with a joint appointment at the A*STAR Institute for High Performance Computing. Xuan's research focuses on scaling cooperative intelligence via rational and model-based AI, spanning areas such as probabilistic programming, model-based planning, Bayesian inference, AI alignment, and computational cognitive science. She leads the Cooperative Systems & Intelligence (CoSI) lab, aiming to reverse engineer the computational foundations of human cooperation to enable AI systems that can cooperate as proficiently as humans. Xuan holds a Ph.D. in Computer Science from the Massachusetts Institute of Technology and a B.S. in Electrical Engineering and Computer Science from Yale University.

Tan Zhi-Xuan is a researcher at the National University of Singapore with expertise in Cooperative AI, Probabilistic Programming, Computational Cognitive Science, and AI Alignment. His work explores the development of AI systems that can learn and think collaboratively with humans, focusing on Bayesian methods for goal inference, safe AI frameworks, and the modeling of human-like reasoning in complex environments. He has published on topics such as probabilistic program proposals, Bayesian Theory of Mind, and the alignment of AI with human values. His research bridges theoretical AI with practical applications in cognitive science and robotics.