Dr. Zhitao Ying

Biography

Rex Ying is a Professor in the Department of Computer Science at Yale University, specializing in Graph and Geometric Learning. With a Ph.D. from Stanford University and a B.S. from Duke University, he focuses on developing expressive, scalable, and explainable algorithms that leverage relational inductive biases represented in graph structures. His research includes applications in recommender systems, anomaly detection, social network analysis, protein networks, drug discovery, and physical simulations. Prof. Ying has been actively engaged in leading workshops and conferences in his field, organizing events such as the SimDL Workshop at ICLR 2021 and the Stanford Graph Learning Workshop 2021. He has also contributed to important publications in the field of machine learning, including studies on hyperbolic cones, graph neural networks, and their application to biological sequences. Prof. Ying is committed to advancing the research in geometric deep learning and welcomes Ph.D. students interested in pushing the frontiers of graph learning and its applications in social sciences, natural sciences, and medicine.

Research Interests