Summary
Marah Gamdou is an ML and Security Engineer with seven years of experience blending applied mathematics, computer vision, and security research across industry leaders including Apple and Google. Trained at CentraleSupélec, ENS Paris-Saclay and NUS, she applies rigorous mathematical thinking to build and evaluate ML models, from deep-learning side-channel analysis to provable-privacy tooling for transparent releases. Her track record spans production-focused engineering at Apple, research internships that produced papers and inventions at Nokia Bell Labs, and practical deployments in intrusion detection and multi-camera re-identification. Driven by a lifelong curiosity about brain-inspired models and a personal history of overcoming adversity, she volunteers on AI solutions for disaster prediction with the World Bank/Data for Good. Colleagues know her for hard work, disciplined experimentation, and the habit of continuing to code and prototype ideas long after office hours.
7 years of coding experience
Master's degree, MVA (Mathematics, Computer Vision and Machine Learning), Master's degree, MVA (Mathematics, Computer Vision and Machine Learning) at École normale supérieure Paris-Saclay
CentraleSupelec engineering degree (BSc, MSc), Data and Information Science, Innovation and Intrapreneurship, CentraleSupelec engineering degree (BSc, MSc), Data and Information Science, Innovation and Intrapreneurship at CentraleSupélec
France, PCSI-PSI* : Physics, Chemistry and Engineering Science, France, PCSI-PSI* : Physics, Chemistry and Engineering Science at Lycée Hoche
Exchange Semester, Mathematics and Computer Science, Exchange Semester, Mathematics and Computer Science at National University of Singapore
French, English, German, Arabic