Yoav Wald
Scholar

Yoav Wald

Google Scholar ID: hh5nOn4AAAAJ
NYU
Machine LearningCausal InferenceComputational Healthcare
Citations & Impact
All-time
Citations
531
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
0
 
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)