Noam Siegelman’s research is concerned with statistical learning, reading, and their intersection. His work focuses mainly on individual- and cross linguistic differences, examining how individuals differ in their learning abilities, how writing systems vary in their statistical properties, and how does the interaction between individuals’ learning capacities and the structure of their writing system co-determine literacy skills of a given individual in a given language. Noam holds a Ph.D. in Cognitive Sciences from the Hebrew University of Jerusalem, and is currently a post-doctoral fellow at Haskins laboratories.
You can find more information about Dr.Siegelman on the folloing links:
