Yoav Benjamini, PhD, MSc

Yoav Benjamini is Emeritus Professor of Applied Statistics at Tel Aviv University, affiliated with the Sagol School of Neuroscience and the Edmond Safra Bioinformatics Center. He earned degrees in physics and mathematics from the Hebrew University and a PhD in statistics from Princeton University. He has held visiting positions at the University of Pennsylvania, UC Berkeley, Stanford, and Columbia. Prof. Benjamini is internationally recognized as a co-developer of the False Discovery Rate (FDR) methodology, widely used in multiple hypothesis testing. He is a member of both the Israel Academy of Sciences and Humanities and the U.S. National Academy of Sciences. His honors include the Israel Prize in Statistics and Economics and the Founders of Statistics Prize from the International Statistical Institute. His research focuses on selective and simultaneous inference, replicability, reproducibility in science, and applications across biostatistics, bioinformatics, neuroscience, psychology, meteorology, and health informatics.