About Me

• I am a post-doctoral researcher at IMT-Atlantique working with Professors Vincent Gripon, Lucas Dumetz and Bastien Pasdeloup on few-shot learning. Few-shot learning refers to the practice of feeding a learning model with a very small amount of training data, contrary to the normal practice of using a large amount of data. [Curriculum Vitae] [Google Scholar].

• My research interests include understanding the structural properties and the dynamics of various types of large scale networks. In particular, I am interested in developing theoretical tools based on graph theory and graph signal processing to address the problems of interpretability and robustness of graph deep learning.

• Prior to that, I obtained my Ph.D from Nice Sophia Antipolis University prepared at EURECOM under the supervision of Dr. Konstantin Avrachenkov and Prof. Laura Cottatellucci. In 2019, I was a visiting scholar at Friedrich-Alexander-Universität (FAU).

• My Ph.D work focused on the use of techniques from harmonic analysis and probability theory for the study of large random graphs.

• I received my Bachlor’s and Master’s degrees from USTHB and Paris-Saclay University, respectively, both in applied mathematics.