Summary
Francois Pacull is a data scientist and computational engineer with two decades of experience translating applied mathematics and research-grade numerical methods into production-ready software. Based in Lyon, he helps companies make better decisions through data analytics, machine learning, optimization and visualization, often accelerating Python code with Cython for multi-core and GPU workloads. His background in CFD, sparse linear algebra and transport modeling gives him uncommon depth for tackling high-volume scientific and engineering datasets, from traffic assignment to groundwater flow simulations. As a consultant and trainer since 2018, he pairs hands-on implementation with teaching, making complex algorithms accessible and performant for industry teams.
8 years of coding experience
12 years of employment as a software developer
Master's Degree, Applied Mathematics, Master's Degree, Applied Mathematics at University of Houston
Ingénieur, Applied Mathematics, Ingénieur, Applied Mathematics at Polytech Lyon