I am interested to solve problems at the interface of machine learning, optimization, and signal processing, with applications to imaging (in particular, medical imaging). I am working on data-driven regularization methods for imaging inverse problems, leading to efficient and provably convergent recovery algorithms, by combining ideas from optimization, machine learning, and Bayesian statistics, among other things.
- Co-Principal Investigator
