PhD Positions

Yassine Kamri

Host Institution: UCL

Duration: 36 Months

Contact person: François Glineur

Workpackages to which it is related: WP1, WP4

Objectives: Expand performance estimation, a recently proposed technique to compute exact worst-case guarantees on the behavior of first-order methods for convex optimization focusing on the large-scale continuous optimization problem formulations arising in data science.

Biography

Hi, I am Yassine, I am originally from Morocco, but I left my home country after High school to study in France where I enrolled in preparatory classes for engineering school called “Classes Préparatoires aux grande écoles” which is an intensive program to prepare the entrance exams of the most prestigious engineering schools in France. After that, I went to CentraleSupélec from which I hold an engineering degree and in parallel of my final year of studies in CentraleSupelec, I enrolled in the Master of Science MVA “Mathématiques, Vision, Apprentissage” of the ENS Paris-Saclay which is a component of the University of Saclay in Paris France.

Motivation: I chose to enroll as a PhD student at UCLouvain within the broader ITN Trade-Opt program because through my engineering studies, I became aware of how mathematical Optimization is ubiquitous in engineering applications especially in machine learning and data science and how it can lead to major technological breakthroughs. I believe that this Phd opportunity will help me acquire the necessary skills to contribute to the broadening of our understanding of optimization methods and data science algorithms.

Hobbies: ports (football, Basketball, Running); reading; watching movies..


“Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less. -Marie SKŁODOWSKA-CURIE”