I am a Blavatnik Cambridge Postdoctoral Fellow at the Computational and Biological Learning Lab, and am interested in developing theories on the dynamics of learning and memory in the brain. Using advanced methods from statistical physics and computer science, I try to develop theoretical insight which would be used to analyse neural data and better understand the computations performed by specific regions of the brain. I obtained my PhD at the Hebrew University of Jerusalem, where I analysed neuronal responses to objects and measured the geometric properties important for linear object classification. Currently working on a theory for the stability of memories in auto-associative neural networks.