Summary
Hugo Math is an AI specialist and PhD candidate based in Munich with nine years of hands-on experience bridging research and industry in sequence modeling, self-supervised learning, and multimodal systems. He recently transitioned from completing a dissertation on reasoning about high-dimensional discrete event sequences—work published at AAAI and NeurIPS and underpinning five patents—into a production-facing role at BMW Group focused on procurement and supplier networks. His background spans full-stack and AI development in semiconductor inspection, factory automation, and web analytics, plus research internships applying CV, NLP, and federated learning to industrial use cases. Hugo combines deep technical rigor with product-minded execution, able to move models from novel research into automated, multi-agent production environments. Open to relocation for a full-time role in 2026, he brings a rare mix of academic credentials and practical deployments that accelerate AI-driven operational improvements. An eclectic detail: he’s worked across startups, corporate R&D, and entrepreneurship programs, giving him fluency in both team science and fast-paced delivery.
9 years of coding experience
3 years of employment as a software developer
Master of Business Administration - MBA - Double Degree, Administration et gestion des affaires, général, Master of Business Administration - MBA - Double Degree, Administration et gestion des affaires, général at IAE DIJON
Master of Engineering - MEng, Master of Engineering - MEng at Polytech Dijon
Doctor of Philosophy - PhD, Sequence Modeling, Causal Discovery, Doctor of Philosophy - PhD, Sequence Modeling, Causal Discovery at University of Augsburg
Master 1 Exchange student, Computer Science, Neural Network, Data Science, Machine Learning, Master 1 Exchange student, Computer Science, Neural Network, Data Science, Machine Learning at Chalmers University of Technology
English, Spanish, French