My research focuses on the statistical physics of soft matter. A key part of our vision is to make sense of data generated from high throughput experiments and simulations by putting physics into machine learning.
We work on problems ranging from computational drug discovery to designing supercapacitors. We are interested in using analytical theories/simulations to discover underlying physical principles, as well as developing machine learning algorithms that can translate physics into new materials.
