We develop predictive computational tools for complex fluids, soft materials, and particle-filled systems. By combining physics-based simulations, constitutive modeling, and AI-driven approaches, we seek to understand how material microstructure influences flow, processing, and performance. Our research spans suspensions, colloids, powders, pastes, and polymeric materials relevant to industries ranging from coatings and consumer products to energy storage and advanced manufacturing. By connecting formulation, processing, and performance, we aim to transform materials development from a trial-and-error process into a predictive engineering discipline.