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. Even 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.
Coming Soon:
Before NYU I was a postdoctoral fellow at Johns Hopkins working with Prof. Suchi Saria. Even 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.
Coming Soon:
- I will be giving a tutorial on Out-of-Distribution Generalization: Shortcuts, Spuriousness and Stability with the wonderful Aahlad Puli and Maggie Makar.
Join us on 12/10/2024, 1:30pm at West Ballroom A, Vancouver Convention
Centre. Check out the list of tutorials here. - Will be talking at UT Austin's Forum for AI in February 25.
This is an extension of a talk from JSM24, please drop a line for slides of the latter.