Recent projects concern: Image reconstruction with physics-driven deep neural networks; Image quality assessment in CT with model observers; Mathematics of learning with neural networks in the overparameterized regime.
Background
Assistant Professor in the Department of Mathematical and Statistical Sciences (MSSC) at Marquette University. Research interests include machine learning, optimization, and compressed sensing, particularly for image reconstruction in MRI, CT, and related inverse problems in computational imaging.