Estelle Massart

Postdoctoral researcher in applied mathematics, University of Oxford and National Physical Laboratory, UK

I am now a postdoctoral researcher at the Mathematical Institute, University of Oxford, UK, where I am funded by the National Physical Laboratory, and working on research projects related to optimization and machine learning.

Before that, I graduated as an engineer in applied mathematics at UCLouvain, Belgium, in 2015, and got a PhD in mathematical engineering at UCLouvain in 2019, under the supervision of Julien Hendrickx and Pierre-Antoine Absil. During my PhD, I was a teaching assistant in the mathematical engineering department (which is part of the ICTEAM institute).

My PhD research was in the continuity of recent works developing "structure-aware" fitting algorithms, i.e., data fitting algorithms that take into account the geometric structure of the data. The data points are here assumed to lie on a Riemannian manifold. I have mainly focused on two problems: averaging a set of positive-definite matrices and fitting a curve to a set of fixed-rank positive-semidefinite matrices.