Rex Ying is an Assistant Professor in Yale University's Department of Computer Science, renowned for his pioneering work in graph neural networks (GNNs), geometric embeddings, and explainable AI models. He is the author of widely-used GNN algorithms such as GraphSAGE, PinSAGE, and GNNExplainer. His research extends to diverse applications, from physical simulations to social networks and biotechnology. With a Ph.D. from Stanford University, where he focused on scalable and explainable GNNs, and a background in computer science and mathematics from Duke University, Dr. Ying is a leading figure in AI research. His contributions include developing billion-scale graph embedding services at Pinterest and graph-based anomaly detection at Amazon.