Stephen Jiezhi Yang is a research scientist at Wayve Labs, where he works on the Spatial Intelligence team. His research is about recovering the world from sparse observations, predicting how it will evolve, and turning both into something an agent can act on.
Most recently, he was at Google XR building 3D foundation models and code as robot policies. Before that, he joined Applied Intuition as one of its early researchers advised by Chief Scientist Dr. Wei Zhan, and interned at Qualcomm AI Research and Robert Bosch Research.
He earned his S.M. in Computational Science and Engineering from Harvard, cross-registering at MIT, and before that graduated with high distinction from the EECS Honors Program at UC Berkeley with a B.A. in Computer Science and Cognitive Science. He is grateful to have learned from exceptional people at BAIR under Prof. Joseph Gonzalez and Prof. Trevor Darrell, and at Harvard's Computational Robotics Group under Prof. Heng Yang.
News
- 2026/9 Joined Wayve as a research scientist.
- 2026/7 UniQueR accepted at ECCV 2026.
- 2026/4 Joined Google XR, working on 3D foundation models.
- 2026/2 Two papers accepted at CVPR 2026. RAYNOVA was awarded Outstanding Paper at the ICCV 2025 RIWM Workshop.
- 2024/12 Joined Applied Intuition as a research engineer.
- 2024/6 First-authored paper CARFF accepted at ECCV 2024.
- 2023/8 Started at Harvard; ALIA accepted at NeurIPS 2023.
- 2023/5 Graduated from UC Berkeley with high distinction.