Greg Ongie

Postdoctoral Scholar
Department of Statistics
University of Chicago
Chicago, IL

gongiefoo@uchicago.edu

About me:

I am a postdoc in the Department of Statistics at the University of Chicago, supported by Rebecca Willett.

CV (Updated 12/2/2017)

Research interests:

Optimization, compressed sensing, and machine learning with applications to image reconstruction in MRI, CT, and related inverse problems. I have published work on:

  • Matrix completion with non-linear models
  • Online algorithms for dynamic MRI reconstruction
  • Off-the-grid compressive signal and image recovery.
  • Fast algorithms for large-scale structured low-rank matrix completion.
  • Generalizations of total variation regularization.
  • Non-convex approaches to large-scale sparsity regularized inverse problems.