- Professor Emeritus, Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University
Dr. Yoav Benjamini is a Professor Emeritus whose scientific work bridges theoretical statistical methodology and applied research involving complex problems with massive data. He earned his BSc in Physics and BSc and MSc in Mathematics from the Hebrew University of Jerusalem, and his PhD in Statistics from Princeton University.
Dr. Benjamini’s methodological research centers on selective and simultaneous inference — particularly the False Discovery Rate (FDR) approach to multiple comparisons, which has become one of the most widely used statistical tools in biomedical research. This work has led him to address one of science’s most pressing challenges: replicability. He develops statistical solutions tailored to the specific needs of medicine, epidemiology, genomics, bioinformatics, neuroscience, and behavioral science, and collaborates extensively with scientists on experimental design and the development of computational tools to uncover structure in large datasets.
Dr. Benjamini is a recipient of the Rausseeuw Prize in Statistics, the Israel Prize in Economics and Statistics, and the Karl Pearson Prize of the International Statistical Institute. He is a member of the Israeli National Academy of Science and an International Member of the US National Academy of Sciences. He is affiliated with the Sagol School of Neuroscience, the Edmond J. Safra Center for Bioinformatics, and the Colton Center for Autoimmunity at Tel Aviv University.