Licong Lin

Licong Lin is an assistant professor of statistics and data science, beginning summer 2027. Lin’s work focuses on the theoretical foundations and algorithms for AI. He uses and extends tools from statistical learning, high-dimensional statistics, and optimization to study the statistical foundations of architectures, algorithms, and phenomena in modern AI and to develop mathematically motivated algorithms for AI alignment. His research has appeared in the Annals of Statistics and the Journal of Machine Learning Research, and at venues such as Advances in Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and others. Lin received a Ph.D. in statistics from the University of California, Berkeley, and a bachelor’s degree in statistics from Peking University.