Shibo Li’s primary research area is AI for science, which integrates traditional computational physics with modern machine learning to analyze physical systems. This complementary approach uses physical insights to improve data-driven methods' efficacy and offers a flexible, efficient computing infrastructure for augmenting traditional research with statistical insights derived from abundant data.