Roman Klokov is an AI researcher with a decade of experience specializing in deep learning for 3D data, combining academic rigor from a PhD at Université Grenoble Alpes and a postdoc at École Polytechnique with applied research roles. He has worked across research institutions and industry—from Inria and a Fermilab-linked experiment to Bleu Robotics—building expertise in 3D recognition and shape reconstruction as well as practical ML system development. Roman’s background in particle physics and early work on dialog systems gives him a rare cross-disciplinary perspective that informs robust experimental design and data-driven model choices. Now based in Palaiseau, he focuses on translating advanced 3D learning methods into real-world robotic and perception applications.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Grenoble Alpes
Master's degree, Machine Learning and Big Data Analysis, Master's degree, Machine Learning and Big Data Analysis at Skolkovo Institute of Science and Technology
Bachelor of Science (B.S.), Elementary Particles Physics, Bachelor of Science (B.S.), Elementary Particles Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:10 commits, 8 pushes, 1 branch in 1 year
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