Maxime Ferreira Da Costa

About me

I am an Associate Professor (Maître de Conférences) at CentraleSupélec, Université Paris-Saclay, and a member of the Laboratory of Signals and Systems (L2S). My research develops the mathematical and algorithmic foundations of data science, drawing on statistics, harmonic analysis, and structured signal processing.

Much of my current work concerns continuous, off-the-grid inverse problems and system calibration: recovering signals and physical parameters that do not lie on a predefined grid, using algorithms with provable guarantees. These questions arise in sensing and imaging systems, telecommunications, and physical layer security.

Before joining CentraleSupélec, I was a Research Associate at the University of Southern California working with Prof. Urbashi Mitra, and at Carnegie Mellon University, in the research group of Prof. Yuejie Chi. I received my Ph.D. degree from Imperial College London in 2018 under the supervision of Dr. Wei Dai. I obtained the Diplôme d'Ingénieur from CentraleSupélec and the M.Sc. degree in Electrical Engineering from Imperial College in 2012. In 2018, I was a finalist for the IEEE Jack Keil Wolf Best Paper Award.

I hold an ANR Young Researcher grant from the French National Research Agency and serve as an Associate Editor for the IEEE Signal Processing Letters.