Soufiane Djebbar

SOUFIANE DJEBBAR is a consultant specializing in HPC and data science at Aneo since September 2021. Previously, DJEBBAR worked at CAEfatigue Limited as an HPC Software Development Engineer, focusing on parallelizing and optimizing the Rainflow Cycle Counting algorithm for fatigue in the temporal domain and accelerating the algorithm with GPU technology. DJEBBAR also interned as a data scientist at Capionis, where a risk score for age-related macular degeneration was developed and validated using machine learning and deep learning methods. Educational qualifications include a Master’s degree in High Performance Computing and Simulation from Université Paris-Saclay, as well as degrees in Stochastic Methods and Applied Mathematics from the University of Pau and Adour Countries and a Bachelor's degree in Operational Research from Université Abderrahmane Mira de Béjaïa.