Summary
Florian Dubost is a Principal Machine Learning Engineer specializing in applied research, currently leading 3D generative world-model and foundational AI architecture R&D at Unity after driving productionized spatial perception and generative 3D features for Android XR at Google. With eight years of deep ML experience spanning academia and industry—including postdoctoral work at Stanford and a PhD from Erasmus—he blends rigorous research (medical imaging, weak supervision, EEG seizure forecasting) with hands-on product delivery and team leadership. He has led cross-functional teams to ship large-scale ML systems, built scalable data synthesis pipelines for Gemini, and navigated legal/privacy constraints in real products. Equally comfortable in code, papers, and product roadmaps, he brings a clinician-aware background in medical AI that informs robust, safety-conscious system design.
8 years of coding experience
8 years of employment as a software developer
Master of Science - M.Sc., Engineering, Master of Science - M.Sc., Engineering at Centrale Méditerranée
Master of Science - M.Sc., Medical engineering, Master of Science - M.Sc., Medical engineering at Technical University of Munich
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Erasmus University Rotterdam
Executive Education: Stanford Ignite, Entrepreneurship Program, Executive Education: Stanford Ignite, Entrepreneurship Program at Stanford University Graduate School of Business
Visiting Scientist, Machine Learning, Visiting Scientist, Machine Learning at Harvard University
CPGE Janson-de-Sailly
Postdoc, Machine Learning, Postdoc, Machine Learning at Stanford University
French, English, German, Russian, Chinese, Dutch