I'm a postdoctoral researcher working with Eero Simoncelli at the Flatiron Institute's Center for Computational Neuroscience. My research lies at the intersection of computer vision, machine learning, and information theory. I'm particularly interested in understanding the relationships between inverse problems, data compression, generative modeling, and unsupervised representation learning.

Previously, I completed my PhD in Computer Science at the Technion—Israel Institute of Technology under the supervision of Michael Elad and Tomer Michaeli. My doctoral research focused on designing image restoration and compression algorithms based on generative models, and on studying their theoretical limits. You can download my PhD dissertation from this link.