Remi Combes is a Principal Applied Scientist based in London with a decade of experience at the intersection of fundamental and applied AI/ML. He has progressed from postdoctoral research at MIT to senior research roles at Microsoft and strategic science leadership at Wayve, blending deep mathematical training with product-driven innovation. His background includes PhD-level applied mathematics and early tech leadership as a CTO, which gives him a rare mix of theoretical rigor and hands-on engineering management. Remi advises startups and has experience translating cutting-edge research into deployable systems for autonomy and AI products. Colleagues know him for bridging research and production, with a knack for turning complex models into practical, scalable solutions. He combines a strong European academic pedigree with proven leadership in both corporate and startup environments.
10 years of coding experience
10 years of employment as a software developer
Mathematics, Mathematics at Ecole normale supérieure
Ph.D., Applied Mathematics, Ph.D., Applied Mathematics at CentraleSupélec
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Lycée Louis-le-Grand
Implementation of the environment used in Learning Invariances for Policy Generalization paper.
Contributions:3 commits, 1 PR, 5 pushes in 2 years 3 months
policygeneralization
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