His current research centers around stochastic modeling of multi-physics phenomena arising in fluids and soft matter at small scales. He develops and analyzes stochastic multiscale simulation methodologies and studies mathematical and physical foundations of stochastic mesoscopic modeling. The overall approach is based on the synergistic use of stochastic processes, computational fluid dynamics (CFD), molecular dynamics (MD), and statistical mechanics. The long-term goal of his research is to establish a unifying computational framework that facilitates our understanding of complex natural phenomena with multiple time and length scales, and bridges the gaps at the physics-chemistry-biology interface