team

I mostly hang around the other people making sure they’re not too productive.

Neri is studying earthquake statistics with physics-inspired ML. This is a collaboration with the Google TLV Research team.

Yamin is working on incorporating our Neural-based method for calculating entropy into molecular dynamics simulations. The aim is to use neurally-estimated entropy as a collective variable in MD simulations that would allow effective sampling of entropically stabilized phases. Yamin is co-advised by Dr. Barak Hirshberg from the school of Chemistry.

Gal is working on the dynamics of deep neural networks. He’s using tools from statistical physics to understand the dynamics of training and generalization in deep neural networks.

Ran is studying the dynamics of deep neural networks.

Want to join? we’re currently looking for Master students (no openings for PhD/post doc at the moment, but outstanding candidates are always welcome to apply).