I am an assistant professor in the Coordinated Science Laboratory. My research interests lie at the intersection of signal processing, machine learning, and applied inverse problems, often involving sound.

In particular, my ongoing work is in two major directions: the theory and applications of machine learning in inverse problems, and the role of distance geometry and related combinatorial problems (unlabeled sensing) in molecular imaging and acoustics.

I gratefully acknowledge support from the National science foundation, Google, VISA, and nVidia.