Greg Ongie

Postdoctoral Scholar
Department of Statistics
University of Chicago
Chicago, IL

About me:

I am a postdoc affiliated with the Committee on Compuational and Applied Mathematics (CCAM) within the Department of Statistics at the University of Chicago, supported by Rebecca Willett.

CV (Updated Jan. 2020)

Research interests:

Machine learning, optimization, and compressed sensing, with applications to image reconstruction in MRI, CT, and related inverse problems in computational imaging. My recent projects concern:

  • Mathematics of learning with neural networks in the overparameterized regime
  • Machine learning for solving inverse problems in imaging
  • Applied algebraic geometry in data science and computational imaging