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via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport
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background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer-controlled subsystems. Hands-on expertise in one
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