Prof. (Emeritus) Yoav Benjamini

My scientific work combines theoretical research in statistical methodology with applied research that involves complex problems with massive data. My methodological work is on selective and simultaneous inference (multiple comparisons) and focuses on the “False Discovery Rate” (FDR) approach to the problem. This work led me to attend to the replicability problem in science, where, the results of studies gaining headlines cannot be replicated by other experimenters. Part of the problem is failure to address the challenge of selective inference. I am trying to develop tools that will aid researchers to cope with this problem, tailored for the special needs in Medicine, Epidemiology, Genomics, Bioinformatics, Neuroscience and Behavior and their interaction. In particular I have been investigating exploratory behavior of animals, work that led us recently to study Autism in early age.