Samuel bridges cutting-edge AI research with industrial transformation
At Aleph, he architects intelligent systems and drives AI strategy across the portfolio, helping ventures unlock transformative capabilities through agentic AI and advanced machine learning.
He holds a PhD in Applied Mathematics from Université de Rennes 1 and studied at CentraleSupélec (MVA program at ENS Paris-Saclay) and École Polytechnique, with published research in natural language processing, optimization algorithms, and graph-based learning systems.
Before joining Aleph, Samuel served as Head of Artificial Intelligence at Segula Technologies, where he led a team of over 10 engineers building production-grade AI agents using LangChain, LangGraph, and MCP, deploying cloud-based solutions for major industrial clients. He previously worked as a Data Science consultant at IBM and HeadMind Partners, where he completed his doctoral research while leading technical projects for Hermès, Engie, and Air Liquide. His background also includes quantitative research roles at Morgan Stanley and Market Cipher, combining expertise in machine learning, NLP, and financial modeling.