Summary
Tristan Trébaol is a Cambridge PhD student and engineer with 8 years’ experience building production AI and scalable software systems, from scaling GitStart from 50 to 3,000+ daily users to deploying probabilistic models for medical applications in collaboration with Microsoft Research. He founded and led the EPFL CHESS CubeSat program—raising $2.5M, managing 40 people, and launching two satellites—bringing rare hands-on spaceflight and systems-engineering experience to ML projects. His background spans computational science and mechanical engineering, with prior roles at Climeworks and EPFL where he co-invented a licensed Geodesic CNN that dramatically accelerated aerodynamic predictions. Tristan is also sustainability-minded in his ML work (noting GPU-hour carbon costs) and a double sailing world champion, reflecting leadership under pressure and a propensity for complex, multidisciplinary challenges. He is currently open to new projects that bridge research, product, and real-world deployment.
9 years of coding experience
3 years of employment as a software developer
Saint Louis de Gonzague-Franklin
Doctor of Philosophy - PhD AI for Medicine, Doctor of Philosophy - PhD AI for Medicine at University of Cambridge
BSc Mechanical Engineering, BSc Mechanical Engineering at Technical University of Munich
MSc Computational Science, MSc Computational Science at EPFL
French, English, German