Summary
Shengyu Huang is a research scientist at NVIDIA with nine years of experience at the intersection of 3D vision and machine learning, grounded in a Doctor of Science from ETH Zürich. His trajectory spans academic research at ETH Zürich, a student-researcher stint at Google, and industry internships that translated advanced 3D perception research into practical systems. He has a strong geomatics and surveying background from Tongji and ETH, which informs his rigorous approach to spatial problems and data-driven 3D reconstruction. Known for bridging theory and applied ML, he has worked on time-series forecasting, deep learning for vision, and even full-stack prototype development during early industry roles. Based in Zurich, he combines deep academic training with hands-on engineering experience at leading AI organizations.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Surveying and Mapping Engineering, Bachelor's degree, Surveying and Mapping Engineering at Tongji University
Doctor of Science, Machine Learning and 3D Vision, Doctor of Science, Machine Learning and 3D Vision at ETH Zürich