Senior Data Science Fellow, Professor of Applied Mathematics
Applications in Engineering
My group develops the data methods of reduced-order and equation-free modeling, machine learning, and compressive sensing for applications across the engineering, physical and biological sciences. These methods leverage traditional applied mathematics expertise in nonlinear waves, scientific computing, perturbation and asymptotic methods, and bifurcation theory for exploring and potentially controlling complex, multi-scale dynamical systems. Domain science research includes optics, neuroscience, video analysis, and fluid dynamics.