Human sentence comprehension is remarkably effective: we can reconstruct the structure of a sentence and extract its meaning with little perceptible delay. I study the representations and processes that make this feat possible, using human experiments (behavioral and neural) as well as computational simulations. I am also interested in using ideas from psycholinguistics to understand the strengths and limitations of artificial intelligence systems (in particular, artificial neural networks), with the goal of bringing their linguistic abilities closer to human levels.
Before joining Johns Hopkins, I was a postdoctoral researcher at Ecole Normale Supérieure in Paris. My degrees are a B.Sc. in Mathematics and Linguistics and an M.A. in Linguistics, both from Tel Aviv University, and a Ph.D. in Linguistics from New York University.