Summary
Mehdi Azabou is a machine learning researcher and startup CTO blending deep academic expertise with hands-on engineering across representation learning, generative AI, and computational neuroscience. As an ARNI postdoc at Columbia and former Georgia Tech PhD student, he specializes in self-supervised methods for time-series and graphs and builds frameworks for large-scale multimodal foundation models aimed at accelerating scientific discovery. He co-founded Constellation Systems and brings eight years of experience shipping ML systems, from research internships at IBM to production-oriented work in computer vision and generative modeling. Known for dynamic, interactive visualizations and a knack for translating complex neural data into actionable representations, he combines rigorous theoretical training (CentraleSupélec, Georgia Tech) with a practical passion for code and product.
8 years of coding experience
5 years of employment as a software developer
BS & MS Specialization in Artificial Intelligence & Signal Processing Engineering, BS & MS Specialization in Artificial Intelligence & Signal Processing Engineering at CentraleSupélec
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Georgia Institute of Technology
Preparatory classes for the Grandes Écoles, Preparatory classes for the Grandes Écoles at IPEST
Spanish, Chinese, French, English, Arabic