I am studying for a PhD at the Technion under the supervision of Prof. Netanel Lindner.
I am currently interested in the intersection between quantum information, condensed matter and machine learning. In particular:
- How can we use quantum information and machine learning to better understand the structure of many-body quantum states?
- What can we learn about the power and limitations of neural networks from applying them to physics models?
