Summary
Zan Lei is a research engineer at Huawei Noah’s Ark Lab in Paris with eight years of experience at the intersection of machine learning, signal processing, and applied computer vision. He holds a PhD in Machine Learning from Université Grenoble Alpes and an engineering degree from IMT Atlantique, and has transitioned academic research into industry through CIFRE and R&D roles. His recent work focuses on hybrid physics-based ML models applied to real-world data, bridging principled modeling and practical deployment. Past projects span satellite image analysis, radar scene simulation, posture estimation with hierarchical RNNs and YOLOv3, and image quality assessment, showing a strong track record in both simulation and empirical evaluation. He also has teaching experience introducing students to AI and data science, reflecting an ability to communicate complex ideas clearly. Based in Boulogne-Billancourt, Zan combines deep academic rigor with hands-on engineering to push ML methods from prototypes to publishable research and production-ready systems.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Université Grenoble Alpes
Engineer's degree, Engineer's degree at IMT Atlantique
Master's degree, Master's degree at Université de Rennes I
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Xidian University