Lucas Braz

Lucas Braz is a Research Engineer specializing in Deep Reinforcement Learning at InstaDeep since April 2023, focusing on enhanced model performance for the Bin Packing Problem using advanced technologies such as Python, Jax, and Ray. Prior experience includes a Research Engineer Internship at the Centre national de la recherche scientifique, where Lucas worked on MRI medical image segmentation utilizing state-of-the-art Deep Learning models, and a Data Engineer Internship at Cosmo Tech dedicated to performance indicators computation. Lucas holds a Master's degree in Data Science from EPFL and is pursuing a Master's degree in Computer Science from CPE Lyon, complemented by a scientific Baccalauréat from Lycée La Martinière Monplaisir.