PhD Student - Reinforcement Learning
Inria Lille,
Scool Team
(previously SequeL)
Supervised by Michal Valko
and Emilie Kaufmann.
Master of Science - Applied Mathematics, Machine Learning, Computer Vision
(MVA)
École Normale Supérieure Paris-Saclay, France, 2018
Master of Engineering
École Centrale Paris (now CentraleSupélec), France, 2017
Double degree program with the University of Campinas.
Bachelor of Science - Electrical Engineering
University of Campinas, Brazil, 2017
Exploration in Deep Reinforcement Learning. Supervised by Michal Valko.
Study of the predictive power of multifractal features in MEG data. Supervised by Philippe Ciuciu.
Optimization of the capacity of a submarine optical fiber link and study of nonlinear wave propagation in optical fibers. Supervised by Prof. Darli A. A. Mello.
Development of a software to study the visual perception of patients equipped with a vision restoration system. Statistical analysis of the collected data. Video segmentation and study of the use of 3D sounds for spatial localization of objects. Supervised by Vincent Bismuth.