The overarching theme of my research is fluid dynamics, with an emphasis on turbulence through theory, numerical simulation, and experiments. My work includes causal inference, reduced-order modeling, and the control of turbulence using information theory. I am also interested in machine-learning closure models for computational fluid dynamics, specifically oriented towards aerospace applications ranging from low-speed aerodynamics to supersonic and hypersonic flows.