About

I am an Assistant Professor in the Faculty of Data and Decision Sciences at the Technion – Israel Institute of Technology, where I lead the Efficient Intelligence Lab. I am also a co‑founder of AAI, where we work on scientific super-intelligence.

Before joining the Technion, I was a Postdoctoral Scholar in the Computing + Mathematical Sciences (CMS) Department at the California Institute of Technology (Caltech), hosted by Prof. Anima Anandkumar and Prof. Garnet Chan. I obtained my Ph.D. in Computer Science from the Hebrew University of Jerusalem under the supervision of Prof. Amnon Shashua. I also hold a B.Sc. in Physics, Mathematics, and Computer Science from the Hebrew University. (Detailed CV)

My research spans deep learning theory (including scaling laws and the expressive power of neural networks), AI for quantum many-body physics, and large language models—both frontier-scale models in industry and more efficient, structured reasoning models in academia.

At the Efficient Intelligence Lab, we aim to understand what it really takes — in terms of model size, data, and compute — to support robust reasoning, and how to design learning systems that make far more intelligent use of limited resources.

If you are interested in working with me as a student or collaborator, you can read more on the lab site at efficiencylab.ai or reach out directly.

If you are looking for my old class notes, you can still find them here (website and notes are in Hebrew).