Summary
Tong Zhao is a 3D research engineer based in Paris with nine years of experience bridging academic research and industry applications in point cloud processing and geometric algorithms. After a PhD on progressive shape reconstruction from raw 3D point clouds at Université Côte d'Azur and ENS/École des Ponts training in applied math and computer science, Tong brought spectral reconstruction and denoising methods from Caltech and Inria into production research at Dassault Systèmes. His background spans deep learning for vision (Intel), robust geometric descriptors for segmentation, and quantitative modeling in finance, giving him a rare mix of mathematical rigor and practical engineering. Known for turning theoretical insights into scalable algorithms, he focuses on progressive, noise-robust surface reconstruction and enjoys optimizing pipelines end-to-end.
9 years of coding experience
Master 2, MVA - Mathématiques / Vision / Apprentissage, Master 2, MVA - Mathématiques / Vision / Apprentissage at École Normale Supérieure Paris-Saclay
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Université Côte d'Azur
Engineering degree, Applied Mathematics and computer science, Engineering degree, Applied Mathematics and computer science at École des Ponts ParisTech
Bachelor's degree, Information Security, Bachelor's degree, Information Security at Shanghai Jiao Tong University
English, French, Chinese