We are interested in the theoretical understanding of Complex Systems from a Statistical Physics viewpoint. We are working towards the development of new emergent laws for complex systems, ranging from brain networks and biological networks to social systems. We treat these complex systems from a unified theoretical approach using concepts from statistical mechanics, network and optimization theory, machine learning, and big-data science that we have developed in our studies of disordered systems in physics.
My research focuses on fluid mechanics at the micro and nano scales, largely based on numerical calculations. Recent interests include wetting and spreading, interfacial phenomena, liquid drop dynamics and active particles.