Rui Ding

Rui Ding is an Eric and Wendy Schmidt AI in Science Fellow at the University of Chicago and a Resident Associate at Argonne National Laboratory. His research develops physics-verified, experiment-closed AI for complex functional materials and devices, integrating machine learning, scientific agents, device digital twins, atomistic simulation, and autonomous experimentation. His work spans electrocatalysts, electrochemical energy systems, chemical sensors, and AI-enabled materials discovery. He has led projects on active-learning-guided experimental discovery, literature-derived digital twins, autonomous scientific reasoning, and multi-fidelity atomistic verification, with publications including Science Advances, Chemical Society Reviews, ACS Catalysis, and ACM SIGKDD. He received his Ph.D. in Materials Science and Engineering from Nanjing University.