Summary
Asma Atamna is a Machine Learning Engineer with 12 years of experience bridging rigorous academic research and industrial ML deployment, currently working at Dassault Systèmes in Darmstadt. She holds a PhD in Computer Science from Université Paris-Saclay and has completed multiple postdoctoral stints across Europe, focusing on deep learning, reinforcement learning, and online hyperparameter optimization. Her work spans from theoretical analysis of adaptive randomized algorithms and constrained optimization to applied projects in materials science, human-robot interaction, emotion recognition, and energy-efficient industrial systems. Known for benchmarking and convergence analysis in optimization and for applying graph neural nets to real-world problems, she brings both mathematical depth and engineering pragmatism. Colleagues value her ability to translate complex optimization theory into practical ML solutions that improve performance and efficiency. She combines a strong publication-driven research background with hands-on experience deploying ML in industry settings.
12 years of coding experience
8 years of employment as a software developer
Engineer's degree Computer Science, Engineer's degree Computer Science at Ecole nationale Superieure d'Informatique (ESI)
Master's degree Computer Science, Master's degree Computer Science at Paris-Sud University (Paris XI)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Paris-Saclay
English, French, Arabic, German, Italian