I am an assistant professor in the Department of Computer Science here at the University of Chicago. My research interests include biological signal acqusition, inverse problems, machine learning, heliophysics, neuroscience, and other exciting ways of exploiting scalable computation to understand the world. Previously, I was at the Berkeley Center for Computational Imaging and RISELab at UC Berkeley EECS working with Ben Recht.
Focus Areas: Chemistry, Inverse Problems, Machine Learning, Measurement
Machine learning for scientific measurement and instrumentation: I’m interested in the application of machine learning and scalable computation to systems which measure and learn about the world, including microscopy, chemical sensing, neuroscience, spectroscopy, and astronomy.