I’m currently a postdoc at the Santa Fe Institute working with Melanie Mitchell. I earned my Ph.D. in Psychology from the University of California, Los Angeles, where I was advised by Hongjing Lu and Ying Nian Wu. Prior to my Ph.D., I received a B.S. in Computer Science and Mathematics from the Hong Kong University of Science and Technology under the guidance of Qifeng Chen. During my training, I also spent a rewarding year in the CCVL lab at Johns Hopkins University, working with Alan L. Yuille. In addition, I gained industry experience through internships at Google X and Mineral.ai.
My research focuses on merging machine learning and cognitive science to enhance relational reasoning and compositional understanding in AI models. I investigate how humans perceive and reason about relationships and analogies, with the goal of imbuing AI systems with similar cognitive abilities. Through empirical studies and computational modeling, I bridge the gap between human intelligence and artificial intelligence. I hope to contribute to creating more interpretable, robust, and adaptable AI systems while advancing our understanding of human cognition.
TMLR
Nat Comm
CogSci
MICCAI