Summary
Jian Wang is a research scientist with a decade of experience specializing in egocentric human motion capture and pose estimation, now working at Meta after completing a PhD at the Max Planck Institute for Informatics. His research focuses on learning robust human motion priors from head-mounted fisheye cameras and advancing photorealistic body reconstruction using Gaussian Splatting. Jian also explores multimodal-conditioned human motion generation, bridging geometry, learning-based priors, and novel rendering techniques. Trained originally in chemistry before transitioning to computer science, he brings a cross-disciplinary mindset to challenging perception problems. Based in Pittsburgh, he combines rigorous academic foundations with applied research aimed at real-world AR/VR capture scenarios. Notably, his work emphasizes robustness to egocentric viewpoints—a niche that unlocks new interactions for wearable sensing.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at University of Chinese Academy of Sciences
Ph.D. student, computer science, Ph.D. student, computer science at Max Planck Society
Bachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Peking University
English, Chinese