Summary
Gael Lederrey is a Senior Data Scientist with a PhD from EPFL and a decade of experience building data-driven solutions for transportation, energy, and public sector clients. He combines rigorous research—developing causal GANs and stochastic optimization for discrete choice models—with hands-on consulting and production delivery, from Data Lakehouse proofs-of-concept to DevOps for SaaS platforms. At Swiss-SDI he now leads client relationships, mentors junior data scientists, and bridges data engineering and analytics teams to turn complex datasets into actionable systems. Known for translating academic advances into pragmatic tools, he has supervised numerous student projects and presented his work at conferences, demonstrating both technical depth and effective knowledge transfer. An early back-end developer, he still brings practical software engineering instincts to model deployment and infrastructure design.
10 years of coding experience
8 years of employment as a software developer
Maturité Gymnasiale, Physique et application des mathématiques, Maturité Gymnasiale, Physique et application des mathématiques at Gymnase du Bugnon - Site de Sévelin
Doctor of Philosophy - PhD, Data Science / Optimisation / Transportation, Doctor of Philosophy - PhD, Data Science / Optimisation / Transportation at EPFL (École polytechnique fédérale de Lausanne)
English, French