My research is about AI-powered design and optimization for large chaotic systems, where unpredictability is dominant. Specifically, my work lies at the intersection of chaos theory, machine learning and fluid dynamics. I am using physics-based machine learning algorithms to develop surrogate models for large-scale Partial Differential Equations (PDEs). Besides, I work on nonlinear fluid dynamic problems, such as unsteady aerodynamics of wings, shape optimization in the presence of turbulent flows. Above all topics, working on the mathematical concepts of nonlinear systems is my interest, where the footprint of chaos opens a new window to the analysis of universal laws, modern technologies, and life stories!