I am a post-doctoral fellow in the School of Engineering and Applied Sciences at Harvard University, in the group of Michael Brenner, and a recipient of the James S. McDonnel post-doctoral fellowship for the study of complex systems.
In general, I am interested in the physics of complex and non linear systems and I’m currently excited about applying Data-Driven techniques (“machine learning”) to study them. My current efforts concentrate on using machine learning for systematic coarse graining of PDEs, and on extracting and identifying structure from experimental data. In the past I studied the dynamics of frictional interfaces, some aspects of disordered systems (the spatial distribution of energy in equilibrium and how it relates to irreversible rearrangement in glassy systems), a bit of biomechanics, and stuff like that.
In 2020 I’ll be starting a research group in the Department of Condensed Matter Physics, at Tel Aviv University’s School of Physics and Astronomy. I’m looking for graduate students and postdocs to join me. For details, drop me a line. It will be fun.