Feng Pan received his PhD at the Institute of Theoretical Physics, Chinese Academy of Sciences. After postdoctoral research in Patrick Rebentrost’s group at CQT, he joined SUTD’s Science, Mathematics and Technology Cluster as Assistant Professor in 2025, and is now also a CQT Fellow. He combines tensor networks, statistical physics and machine learning to tackle problems in quantum computing. His work on classically simulating Google’s Sycamore circuits was covered by Science and New Scientist. He also collaborates closely with leading technology companies, including Google Quantum AI, IBM and NVIDIA.