Mireille Boutin

Boutin's research is in the area of applied mathematics, signal processing and machine learning. Mathematically speaking, she is interested in discrete inverse problems. The methods she uses include Lie groups, invariant theory, commutative algebra, and PDEs, among others. One of the particularities of her work is that it often integrates geometric tools inside a probabilistic framework. In particular, she has worked on building lossless representations of objects using invariant statistics., including different unlabeled distance geometry problems.

There is always light. If only we're brave enough to see it. If only we're brave enough to be it." Amanda Gorman