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Estelle Massart received her engineering degree in applied mathematics from the Catholic University of Louvain, Belgium, in 2015 and earned her PhD in mathematical engineering from the same institution in 2019, with supervision from Julien Hendrickx and Pierre-Antoine Absil. Her doctoral thesis, titled 'Data Fitting Positive Semidefinite Matrix Manifolds,' was recognized with the XXI Alston Householder prize. After completing her PhD, she worked as a postdoctoral researcher at the University of Oxford within the Mathematical Institute, funded by the National Physical Laboratory. In 2022, she joined UCLouvain as a scientific collaborator in the mathematical engineering department before becoming a faculty member in the same department later that year. Her research interests include Machine Learning, Deep Learning, Optimization, Riemannian Geometry, and their applications in the mathematics sciences, with a special focus on biomedical applications. She is actively involved in supervising PhD students and teaching a variety of courses in applied mathematics.
University of Oxford • Oxford, UK
Worked on projects related to applied mathematics and optimization.
Catholic University of Louvain • Louvain-la-Neuve, Belgium
Collaborated on research in mathematical engineering within the ICTEAM institute.
Catholic University of Louvain • Louvain-la-Neuve, Belgium
Engaged in teaching and research within the mathematical engineering department.
This entry covers Engineering departments including Applied Mechanics, Civil, Mechanical, Mechatronic, and Electrical branches. A minimum B2 level of English is required.