I am a new 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.
Run linear algebra at scale using a serverless execution framework
Structured prediction for inverse problems
Or, ‘Could a neuroscientist understand a microprocessor?’
How can we exploit novel physics and computational algorithms to see through scattering media like fog and biological tissue?
How do we reverse-engineer the schematic of the brain? And how do we make sense of that data?
Recent news and outreach about our work!