Ziv Goldfeld is an Associate Professor in the School of Electrical and Computer Engineering at Cornell University, and a graduate field member in Computer Science, Statistics and Data Science, Operations Research and Information Engineering, and the Center for Applied Mathematics. Ziv's research interests include optimal transport theory, information theory, statistics, optimization, and AI alignment and interpretability. He develops the mathematical and algorithmic foundations of machine learning and AI algorithms, subject to formal guarantees on reliability, efficiency, scalability, robustness, and safety. Prior to joining Cornell, he was a postdoctoral fellow in the Laboratory for Information and Decision Systems (LIDS) at MIT. He received his B.Sc., M.Sc. (both summa cum laude), and Ph.D. in Electrical and Computer Engineering from Ben-Gurion University of the Negev. Honors include the NSF CAREER Award, the IBM University Award, the Rothschild postdoctoral fellowship, and the Michael Tien '72 Excellence in Teaching Award at Cornell.