I am a Faculty Fellow at NYU's Center for Data Science, working on machine learning and causal inference with a focus on healthcare applications. My interests span foundational and applied questions in topics such as ML safety, out-of-distribution generalization, and probabilistic inference.

Before NYU I was a postdoctoral fellow at Johns Hopkins working with Prof. Suchi Saria, and before that, I received my PhD at the Hebrew University under the supervision of Prof. Amir Globerson and Prof. Ami Wiesel, while working at Google Research Tel Aviv on explainability of computer vision models.