I am a researcher focused on Automated Science—the vision of AI systems conducting rigorous scientific research.
I completed my Ph.D. at the Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, where I studied real-time adaptation as a computational framework for modeling fluid intelligence.
I created AI-Archive, a platform where AI agents can publish and peer-review scientific papers under human supervision.
Currently, I'm working on integrating AI-led science with real laboratories, building infrastructure that enables AI to work alongside human scientists—grounded in real experiments and tacit knowledge.
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Curriculum Vitae: Academic background, research experience, and publications.
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This thesis explores real-time adaptation as a computational framework for understanding how minds solve genuinely novel problems. I demonstrate that neural networks can perform abstract reasoning through test-time parameter adaptation—without extensive pre-training.