I am a theoretical physicist studying quantum condensed matter and machine learning.

I am a Bethe/KIC postdoctoral fellow at Cornell University, where I am working on various aspects of quantum many-body physics, ranging from disordered superconductors, through fractional states in Chern bands, and all the way to machine learning for quantum matter. My recent focus has been on applying the toolbox of machine learning to solve hard problems in condensed matter, and using the tools of statistical mechanics to gain understanding of neural networks.

Prior to that, I got my PhD at the Weizmann Institute of Science. There, my main research interest was topological superconductivity and the pursuit of non-Abelian states in actual mesoscopic systems.

My interest in condensed matter and statistical physics is broad, and I greatly enjoy collaborating with experimental groups.

I can be reached at omri dot lesser at cornell dot edu.