Paper on Competing Event Models chosen for a contributed talk at the ICML 2025 workshop; paper on 'scalable effect estimation for interventions on when and what to do' accepted to ICLR 2025.
Research Experience
Worked at Google Research Tel Aviv on explainability of computer vision models.
Education
Postdoctoral fellow at Johns Hopkins University, working with Prof. Suchi Saria; received PhD from the Hebrew University under the supervision of Prof. Amir Globerson and Prof. Ami Wiesel.
Background
Faculty Fellow at NYU's Center for Data Science, working on machine learning and causal inference with a focus on healthcare applications. Interests include out-of-distribution generalization, sequential decision-making, ML safety, and probabilistic inference.
Miscellany
Will be joining the faculty of Data and Decision Sciences at the Technion as an Assistant Professor in summer 2026.