Resume
Academic Achievements
- 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.