Summary
Jean-luc Bouchot is an advanced researcher and applied mathematician with a decade of experience bridging rigorous mathematics and practical engineering across academia and industry. Based at INRIA Côte d'Azur, he specializes in algorithmic differentiation (notably contributing to the TAPENADE source-to-source AD project), high-dimensional parametric PDEs, compressed sensing, and numerical optimization for large-scale systems. His background spans algorithm engineering for autonomous systems, cloud-deployed Monte Carlo simulations for power systems, and developing open-source simulation toolchains, demonstrating an unusual blend of theory, production code, and deployment. A seasoned educator and mentor, he has taught matrix analysis, machine learning, and numerical analysis at institutions from LSE to RWTH Aachen and Beijing Institute of Technology. He also operates a consulting practice (TitusTech) applying mathematical modeling and AI to industrial problems, combining research-grade methods with pragmatic delivery. Colleagues value his ability to turn complex, high-dimensional problems into elegant, implementable solutions that scale in practice.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mathematics - Computer Science, Doctor of Philosophy (Ph.D.) Mathematics - Computer Science at Johannes Kepler Universität Linz
Technischen Universität Darmstadt
Habilitation Information Technology, Habilitation Information Technology at Université Côte d'Azur
Engineer’s Degree Computer Science - Applied Mathematics, Engineer’s Degree Computer Science - Applied Mathematics at Toulouse INP
French, English, German, Spanish