Summary
Yanai Elazar is an Assistant Professor and researcher with nine years of experience at the intersection of generative models, interpretability, and data-centric AI, currently based at Bar-Ilan University. After a PhD and MSc focused on NLP and ML, he progressed from industry internships at Google, Intuit and AOL to a multi-year research role at the Allen Institute for AI, where he advanced methods for data attribution and model understanding. Yanai combines deep academic rigor with practical engineering—having built GPU-accelerated tooling early in his career—to tackle reproducibility and dataset-driven challenges in modern AI. Known for bridging theory and applied systems, he brings a track record of translating interpretability insights into tools and experiments that improve model reliability.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Bar-Ilan University
English, Hebrew, French