Data Scientist

Shu Yang is a data scientist with experienced in semantic segmentation, object detection, 3D reconstruction, and large generative models. With a strong foundation in Python and C++ programming, Shu has successfully implemented and optimized cutting-edge technologies such as 3D Gaussian Splatting, Stable Diffusion, and Transformers. Shu has a proven track record in both academic research and industry projects, evidenced by his publications and contributions to innovative solutions in the field of computer vision.

Shu earned his Master’s degree in Electrical and Computer Engineering from the University of Rochester. Currently working at FLX AI, Shu is focused on developing and deploying advanced models for real-world applications, primarily in semantic segmentation tasks.