Zahra Kadkhodaie, Ph.D.

Zahra Kadkhodaie has a background in solid-state physics and is a Flatiron Research Fellow at Center for Computational Neuroscience (CCN) at the Flatiron Institute. She completed her Ph.D. at New York University in data science advised by Eero Simoncelli. She has worked on learning high dimensional image densities from data, understanding and utilizing them. Specifically, she studied generalization versus memorization in densities embedded in diffusion models, low-dimensionality of conditional density models, interpreting effective dimensionality of image manifolds, and using learned image densities to solve inverse problems.